Publications

Authors: Type:

2022

  • [DOI] Dotoli, M. & Giarré, L. (2022) The 29th Mediterranean Conference on Control and Automation [Conference Reports]. IN IEEE Control Systems, 42.137-139.
    [Bibtex]
    @ARTICLE{Dotoli2022137,
    author={Dotoli, M. and Giarré, L.},
    title={The 29th Mediterranean Conference on Control and Automation [Conference Reports]},
    journal={IEEE Control Systems},
    year={2022},
    volume={42},
    number={1},
    pages={137-139},
    doi={10.1109/MCS.2021.3122770},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123629711&doi=10.1109%2fMCS.2021.3122770&partnerID=40&md5=b54dd72589254d3b16d0c0c6e3be1531},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Robba, M., Dotoli, M. & Paolucci, M. (2022) Guest Editorial Special Section on Advances in Automation and Optimization for Sustainable Transportation and Energy Systems. IN IEEE Transactions on Automation Science and Engineering, 19.3-6.
    [Bibtex]
    @ARTICLE{Robba20223,
    author={Robba, M. and Dotoli, M. and Paolucci, M.},
    title={Guest Editorial Special Section on Advances in Automation and Optimization for Sustainable Transportation and Energy Systems},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2022},
    volume={19},
    number={1},
    pages={3-6},
    doi={10.1109/TASE.2021.3120225},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122512182&doi=10.1109%2fTASE.2021.3120225&partnerID=40&md5=f2b16d353939cd47b35e9c38d965c1ca},
    affiliation={Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy; Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This special section of the IEEE Transactions on Automation Science and Engineering (T-ASE) focuses on new models, methods, and technologies for energy efficiency and sustainability in transportation and energy systems. In this section, the focus is thus on articles considering sustainable transportation, such as electric vehicles (EVs), integrated with the smart grid requirements. As guest editors, we are very pleased to present the selected 12 papers, whose topics are specifically related to optimal planning of charging stations (CSs), sustainable transportation and mobility, EVs integration in smart grids, reliability, reduction of consumption, demand response and smart grid modeling, optimal scheduling, routing and charging of fleets of EVs, as well as smart parking. © 2004-2012 IEEE.},
    document_type={Review},
    source={Scopus},
    }
  • [DOI] Helmi, A. M., Carli, R., Dotoli, M. & Ramadan, H. S. (2022) Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization. IN IEEE Transactions on Automation Science and Engineering, 19.82-98.
    [Bibtex]
    @ARTICLE{Helmi202282,
    author={Helmi, A.M. and Carli, R. and Dotoli, M. and Ramadan, H.S.},
    title={Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2022},
    volume={19},
    number={1},
    pages={82-98},
    doi={10.1109/TASE.2021.3072862},
    note={cited By 13},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105879516&doi=10.1109%2fTASE.2021.3072862&partnerID=40&md5=1b9b5290b92a3a5ad8886f61ec903dc8},
    affiliation={Department of Computer and Systems, Zagazig University, Zagazig, Egypt; Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Department of Electrical Power and Machines, Zagazig University, Zagazig, Egypt; Engineering and Information Technology College, Buraydah Private Colleges, Buraydah, 51418, Saudi Arabia; Institut International sur le Stockage de L’Hydrogéne (ISTHY), Meroux-Moval90400, France},
    abstract={Improving the efficiency and sustainability of distribution networks (DNs) is nowadays a challenging objective both for large networks and microgrids connected to the main grid. In this context, a crucial role is played by the so-called network reconfiguration problem, which aims at determining the optimal DN topology. This process is enabled by properly changing the close/open status of all available branch switches to form an admissible graph connecting network buses. The reconfiguration problem is typically modeled as an NP-hard combinatorial problem with a complex search space due to current and voltage constraints. Even though several metaheuristic algorithms have been used to obtain - without guarantees - the global optimal solution, searching for near-optimal solutions in reasonable time is still a research challenge for the DN reconfiguration problem. Facing this issue, this article proposes a novel effective optimization framework for the reconfiguration problem of modern DNs. The objective of reconfiguration is minimizing the overall power losses while ensuring an enhanced DN voltage profile. A multiple-step resolution procedure is then presented, where the recent Harris hawks optimization (HHO) algorithm constitutes the core part. This optimizer is here intelligently accompanied by appropriate preprocessing (i.e., search space preparation and initial feasible population generation) and postprocessing (i.e., solution refinement) phases aimed at improving the search for near-optimal configurations. The effectiveness of the method is validated through numerical experiments on the IEEE 33-bus, the IEEE 85-bus systems, and an artificial 295-bus system under distributed generation and load variation. Finally, the performance of the proposed HHO-based approach is compared with two related metaheuristic techniques, namely the particle swarm optimization algorithm and the Cuckoo search algorithm. The results show that HHO outperforms the other two optimizers in terms of minimized power losses, enhanced voltage profile, and running time. Note to Practitioners - This article is motivated by the emerging need for effective network reconfiguration approaches in modern power distribution systems, including microgrids. The proposed metaheuristic optimization strategy allows the decision maker (i.e., the distribution system operator) to determine in reasonable time the optimal network topology, minimizing the overall power losses and considering the system operational requirements. The proposed optimization framework is generic and flexible, as it can be applied to different architectures both of large distribution networks (DNs) and microgrids, considering various types of system objectives and technical constraints. The presented strategy can be implemented in any decision support system or engineering software for power grids, providing decision makers with an effective information and communication technology tool for the optimal planning of the energy efficiency and environmental sustainability of DNs. © 2004-2012 IEEE.},
    author_keywords={Distribution network (DN) reconfiguration; Harris hawks optimization (HHO) algorithm; metaheuristic optimization; microgrids; power losses reduction; voltage profile improvement},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Grammatico, S., Carli, R. & Dotoli, M. (2022) Distributed Demand Side Management with Stochastic Wind Power Forecasting. IN IEEE Transactions on Control Systems Technology, 30.97-112.
    [Bibtex]
    @ARTICLE{Scarabaggio202297,
    author={Scarabaggio, P. and Grammatico, S. and Carli, R. and Dotoli, M.},
    title={Distributed Demand Side Management with Stochastic Wind Power Forecasting},
    journal={IEEE Transactions on Control Systems Technology},
    year={2022},
    volume={30},
    number={1},
    pages={97-112},
    doi={10.1109/TCST.2021.3056751},
    note={cited By 35},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100918524&doi=10.1109%2fTCST.2021.3056751&partnerID=40&md5=4f491e205e325ad467291e71ce8dbff8},
    affiliation={Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, 70125, Italy; Delft Center for Systems and Control, TU Delft, Delft, CD 2628, Netherlands},
    abstract={In this article, we propose a distributed demand-side management (DSM) approach for smart grids taking into account uncertainty in wind power forecasting. The smart grid model comprehends traditional users as well as active users (prosumers). Through a rolling-horizon approach, prosumers participate in a DSM program, aiming at minimizing their cost in the presence of uncertain wind power generation by a game theory approach. We assume that each user selfishly formulates its grid optimization problem as a noncooperative game. The core challenge in this article is defining an approach to cope with the uncertainty in wind power availability. We tackle this issue from two different sides: by employing the expected value to define a deterministic counterpart for the problem and by adopting a stochastic approximated framework. In the latter case, we employ the sample average approximation (SAA) technique, whose results are based on a probability density function (PDF) for the wind speed forecasts. We improve the PDF by using historical wind speed data, and by employing a control index that takes into account the weather condition stability. Numerical simulations on a real data set show that the proposed stochastic strategy generates lower individual costs compared to the standard expected value approach. © 1993-2012 IEEE.},
    author_keywords={Demand-side management (DSM); model predictive control; sample average approximation (SAA); smart grid; stochastic optimization},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Cavone, G., Van Den Boom, T., Blenkers, L., Dotoli, M., Seatzu, C. & De Schutter, B. (2022) An MPC-Based Rescheduling Algorithm for Disruptions and Disturbances in Large-Scale Railway Networks. IN IEEE Transactions on Automation Science and Engineering, 19.99-112.
    [Bibtex]
    @ARTICLE{Cavone202299,
    author={Cavone, G. and Van Den Boom, T. and Blenkers, L. and Dotoli, M. and Seatzu, C. and De Schutter, B.},
    title={An MPC-Based Rescheduling Algorithm for Disruptions and Disturbances in Large-Scale Railway Networks},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2022},
    volume={19},
    number={1},
    pages={99-112},
    doi={10.1109/TASE.2020.3040940},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098771253&doi=10.1109%2fTASE.2020.3040940&partnerID=40&md5=155dc1581a4c1e8c1c487e2eb7c75cbd},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands; Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy},
    abstract={Railways are a well-recognized sustainable transportation mode that helps to satisfy the continuously growing mobility demand. However, the management of railway traffic in large-scale networks is a challenging task, especially when both a major disruption and various disturbances occur simultaneously. We propose an automatic rescheduling algorithm for real-time control of railway traffic that aims at minimizing the delays induced by the disruption and disturbances, as well as the resulting cancellations of train runs and turn-backs (or short-turns) and shuntings of trains in stations. The real-time control is based on the Model Predictive Control (MPC) scheme where the rescheduling problem is solved by mixed integer linear programming using macroscopic and mesoscopic models. The proposed resolution algorithm combines a distributed optimization method and bi-level heuristics to provide feasible control actions for the whole network in short computation time, without neglecting physical limitations nor operations at disrupted stations. A realistic simulation test is performed on the complete Dutch railway network. The results highlight the effectiveness of the method in properly minimizing the delays and rapidly providing feasible feedback control actions for the whole network. Note to Practitioners - This article aims at contributing to the enhancement of the core functionalities of Automatic Train Control (ATC) systems and, in particular, of the Automatic Train Supervision (ATS) module, which is included in ATC systems. In general, the ATS module allows to automate the train traffic supervision and consequently the rescheduling of the railway traffic in case of unexpected events. However, the implementation of an efficient rescheduling technique that automatically and rapidly provides the control actions necessary to restore the railway traffic operations to the nominal schedule is still an open issue. Most literature contributions fail in providing rescheduling methods that successfully determine high-quality solutions in less than one minute and include real-time information regarding the large-scale railway system state. This research proposes a semi-heuristic control algorithm based on MPC that, on the one hand, overcomes the limitations of manual rescheduling (i.e., suboptimal, stressful, and delayed decisions) and, on the other hand, offers the advantages of online and closed-loop control of railway traffic based on continuous monitoring of the traffic state to rapidly restore railway traffic operations to the nominal schedule. The semi-heuristic procedure permits to significantly reduce the computation time necessary to solve the rescheduling problem compared with an exact procedure; moreover, the use of a distributed optimization approach permits the application of the algorithm to large instances of the rescheduling problem, and the inclusion of both the traffic and rolling stock constraints related to the disrupted area. The method is tested on a realistic simulation environment, thus still requires further refinements for the integration into a real ATS system. Further developments will also consider the occurrence of various simultaneous disruptions in the network. © 2004-2012 IEEE.},
    author_keywords={Mixed Integer Linear (MIL) Programming (MILP); Model Predictive Control (MPC); railway traffic disruption; rescheduling algorithms},
    document_type={Article},
    source={Scopus},
    }

2021

  • [DOI] Luo, J., Tong, Y., Cavone, G. & Dotoli, M. (2021) A Service-Oriented Metro Traffic Regulation Method for Improving Operation Performance IN IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC., 3533-3538.
    [Bibtex]
    @CONFERENCE{Luo20213533,
    author={Luo, J. and Tong, Y. and Cavone, G. and Dotoli, M.},
    title={A Service-Oriented Metro Traffic Regulation Method for Improving Operation Performance},
    journal={IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC},
    year={2021},
    volume={2021-September},
    pages={3533-3538},
    doi={10.1109/ITSC48978.2021.9564503},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118448237&doi=10.1109%2fITSC48978.2021.9564503&partnerID=40&md5=75a73b3639d1cc8614a800ad9d1f66bb},
    affiliation={School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 611756, China; Polytechnic of Bari, Department of Electrical and Information Engineering, Bari, 70125, Italy},
    abstract={For high density metro traffic, nowadays the time-variant passenger flow is the main cause of train delays and stranded passengers. In this work a novel framework that integrates a passenger flow module (PFM) and a train operation module (TOM) is proposed with the aim of simultaneously minimizing traffic delays and passengers' discomfort. The two modules interact with each other so that the headway time is automatically adjusted when a platform is overcrowded, and the train traffic is immediately regulated according to the new headway time. As a result, the number of passengers on the platform and their total waiting time can be significantly reduced. Numerical results are provided to show the effectiveness of the proposed method in improving the operation performance while minimizing the passengers' discomfort. © 2021 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Bozza, A., Cavone, G., Carli, R., Mazzoccoli, L. & Dotoli, M. (2021) An MPC-based Approach for the Feedback Control of the Cold Sheet Metal Forming Process IN IEEE International Conference on Automation Science and Engineering., 286-291.
    [Bibtex]
    @CONFERENCE{Bozza2021286,
    author={Bozza, A. and Cavone, G. and Carli, R. and Mazzoccoli, L. and Dotoli, M.},
    title={An MPC-based Approach for the Feedback Control of the Cold Sheet Metal Forming Process},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2021},
    volume={2021-August},
    pages={286-291},
    doi={10.1109/CASE49439.2021.9551602},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117041530&doi=10.1109%2fCASE49439.2021.9551602&partnerID=40&md5=8f6b0f6133565ad0c087ea675cf9c3b9},
    affiliation={Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy},
    abstract={In the automotive sector the cold forming of metal sheets is one of the main production activities. However, it is also one of the main source of production wastes. The generally adopted strategy to reduce the number of abnormal stamped parts is the feedback control of the stamping press (i.e., the machine control), while the feedback control of the stamping process is rarely considered. The process control, differently from the press control, can allow the monitoring of the state of the stamped part during the formation phase and the provision of corrective actions in case of abnormal behaviors of the metal sheet, thus ensuring a more precise control of the process. In this context, this paper presents a novel methodology for the cold metal forming process control based on Model Predictive Control (MPC). Firstly, a dynamical model of the system is defined that describes the draw-in of n critical points of the metal sheet as a function of the Blank Holder Force (BHF) and the punch stroke. Then, two different MPC-based real-time controllers are built for two different types of press configuration: the monolithic and the differential one. In the first case, a mono-MPC control system evaluates the draw-in of n critical points and computes a single couple of control signals (i.e., the BHF and the punch stroke). In the second case, a multi-MPC control system computes n different couples of control signals, i.e., one for each monitored draw-in. Finally, a case study is presented with the aim to test both the architectures, considering several simulation scenarios (with or without external disturbances on the plant), in order to make a control system architectures comparison in terms of tracking errors and workpiece quality. © 2021 IEEE.},
    author_keywords={Metal forming; Model Predictive Control; process control; real-time feedback control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Carli, R., Cavone, G., Epicoco, N. & Dotoli, M. (2021) Modeling, Estimation, and Optimal Control of Anti-COVID-19 Multi-dose Vaccine Administration IN IEEE International Conference on Automation Science and Engineering., 990-995.
    [Bibtex]
    @CONFERENCE{Scarabaggio2021990,
    author={Scarabaggio, P. and Carli, R. and Cavone, G. and Epicoco, N. and Dotoli, M.},
    title={Modeling, Estimation, and Optimal Control of Anti-COVID-19 Multi-dose Vaccine Administration},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2021},
    volume={2021-August},
    pages={990-995},
    doi={10.1109/CASE49439.2021.9551418},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117035432&doi=10.1109%2fCASE49439.2021.9551418&partnerID=40&md5=489bcdcd710fb127ad522dbebe163265},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Italy; Ctr. of Excellence Dews (Des. Methodologies for Embedded Controllers Wireless Interconnect and Syst.-on-chip), University of l'Aquila, Department of Information Engineering, Computer Science and Mathematics (DISIM), L'Aquila, Italy},
    abstract={The recent trends of the COVID-19 research are being devoted to disease transmission modeling in presence of vaccinated individuals, while the emerging needs are being focused on developing effective strategies for the optimal distribution of vaccine between population. In this context, we propose a novel non-linear time-varying model that effectively supports policy-makers in predicting and analyzing the dynamics of COVID-19 when partially and fully immune individuals are included in the population. Differently from the related literature, where the common strategies typically rely on the prioritization of the different classes of individuals, we propose a novel Model Predictive Control approach to optimally control the multi-dose vaccine administration in the case the available number of doses is not sufficient to cover the whole population. Focusing on the minimization of the expected number of deaths, the approach discriminates between the number of first and second doses. We calibrate the model on the Israeli scenario using real data and we estimate the impact of the vaccine administration on the virus dynamics. Lastly, we assess the impact of the first dose of the Pfizer's vaccine confirming the results of clinical tests. © 2021 IEEE.},
    author_keywords={COVID-19; model predictive control; pandemic modeling; vaccine; vaccine distribution},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Proia, S., Carli, R., Cavone, G. & Dotoli, M. (2021) A Literature Review on Control Techniques for Collaborative Robotics in Industrial Applications IN IEEE International Conference on Automation Science and Engineering., 591-596.
    [Bibtex]
    @CONFERENCE{Proia2021591,
    author={Proia, S. and Carli, R. and Cavone, G. and Dotoli, M.},
    title={A Literature Review on Control Techniques for Collaborative Robotics in Industrial Applications},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2021},
    volume={2021-August},
    pages={591-596},
    doi={10.1109/CASE49439.2021.9551600},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116978273&doi=10.1109%2fCASE49439.2021.9551600&partnerID=40&md5=a834d330c2d2bedcecdff62c8eaceae7},
    affiliation={Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy},
    abstract={One of the key enabling technologies that has made Industry 4.0 a concrete reality is without doubt collaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of safety and employees' well-being, together with the increment of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this article presents an accurate review of the most recent and relevant papers in the related field, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and promising future developments in the context of the digital evolution. © 2021 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Cavone, G., Carli, R., Troccoli, G., Tresca, G. & Dotoli, M. (2021) A MILP approach for the multi-drop container loading problem resolution in logistics 4.0 IN 2021 29th Mediterranean Conference on Control and Automation, MED 2021., 687-692.
    [Bibtex]
    @CONFERENCE{Cavone2021687,
    author={Cavone, G. and Carli, R. and Troccoli, G. and Tresca, G. and Dotoli, M.},
    title={A MILP approach for the multi-drop container loading problem resolution in logistics 4.0},
    journal={2021 29th Mediterranean Conference on Control and Automation, MED 2021},
    year={2021},
    pages={687-692},
    doi={10.1109/MED51440.2021.9480359},
    art_number={9480359},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113699292&doi=10.1109%2fMED51440.2021.9480359&partnerID=40&md5=734929101ce82724d3629ddb1e06f4a4},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Italy},
    abstract={This paper addresses the multi-drop container loading problem (CLP), i.e., the problem of packing multiple bins -associated to multiple deliveries to one or more customers- into a finite number of transport units (TUs). Differently from the traditional CLP, the multi-drop CLP has been rarely handled in the literature, while effective algorithms to automatically solve this problem are needed to improve the efficiency and sustainability of internal logistics. To this aim, we propose a novel algorithm that solves a delivery-based mixed integer linear programming formulation of the problem. The algorithm efficiently determines the optimal composition of TUs by minimizing the unused space, while fulfilling a set of geometric and safety constraints, and complying with the delivery allocation. In particular, the proposed algorithm includes two steps: the first aims at clustering bins into groups to be compatibly loaded in various TUs; the latter aims at determining the optimal configuration of each group in the related TU. Finally, the proposed algorithm is applied to several realistic case studies with the aim of testing and analysing its effectiveness in producing stable and compact TU loading configurations in a short computation time, despite the high computational complexity of the multi-drop CLP. © 2021 IEEE.},
    author_keywords={Container loading problem; Logistics; MILP; Multi-drop; Optimization},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Helmi, A. M., Carli, R., Dotoli, M. & Ramadan, H. S. (2021) Harris hawks optimization for the efficient reconfiguration of distribution networks IN 2021 29th Mediterranean Conference on Control and Automation, MED 2021., 214-219.
    [Bibtex]
    @CONFERENCE{Helmi2021214,
    author={Helmi, A.M. and Carli, R. and Dotoli, M. and Ramadan, H.S.},
    title={Harris hawks optimization for the efficient reconfiguration of distribution networks},
    journal={2021 29th Mediterranean Conference on Control and Automation, MED 2021},
    year={2021},
    pages={214-219},
    doi={10.1109/MED51440.2021.9480179},
    art_number={9480179},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113690851&doi=10.1109%2fMED51440.2021.9480179&partnerID=40&md5=ae29f6caf996f43c23ab7874ded72442},
    affiliation={Zagazig University, Computer and Systems Department, Zagazig, 44519, Egypt; Engineering and Information Technology College, Buraydah Private Colleges, Buraydah, 51418, Saudi Arabia; Polytechnic of Bari, Department of Electrical and Information Engineering, Bari, 70125, Italy; Zagazig University, Electrical Power and Machines Department, Zagazig, 44519, Egypt; ISTHY (Institut International sur le Stockage de l'Hydrogène), Meroux-Moval, 90400, France},
    abstract={Improving the efficiency of distribution networks (DNs) is nowadays a challenging objective for modern power grids equipped with distributed generation and storage. In this context, the so-called network reconfiguration problem can be solved to obtain the optimal DN topology that minimizes the total power losses, while ensuring the voltage profile enhancement. The DN reconfiguration problem has NP-hard complexity; hence, finding near-optimal solutions in reasonable time is still an open research need. Facing this issue, this paper proposes a novel metaheuristic approach, where the recent Harris Hawks optimization algorithm is used to efficiently obtain near-optimal configurations. The effectiveness of the proposed method is validated through numerical experiments on the IEEE 85-bus system, comparing the achieved performance with the results obtained by other related techniques. © 2021 IEEE.},
    author_keywords={Distribution Network Reconfiguration; Harris Hawks Optimization; Metaheuristic Optimization; Microgrids},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Cavone, G., Epicoco, N., Carli, R., Del Zotti, A., Paulo Ribeiro Pereira, J. & Dotoli, M. (2021) Parcel delivery with drones: Multi-criteria analysis of trendy system architectures IN 2021 29th Mediterranean Conference on Control and Automation, MED 2021., 693-698.
    [Bibtex]
    @CONFERENCE{Cavone2021693,
    author={Cavone, G. and Epicoco, N. and Carli, R. and Del Zotti, A. and Paulo Ribeiro Pereira, J. and Dotoli, M.},
    title={Parcel delivery with drones: Multi-criteria analysis of trendy system architectures},
    journal={2021 29th Mediterranean Conference on Control and Automation, MED 2021},
    year={2021},
    pages={693-698},
    doi={10.1109/MED51440.2021.9480332},
    art_number={9480332},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113688309&doi=10.1109%2fMED51440.2021.9480332&partnerID=40&md5=b1147e916948e156664d7ff61520c1dd},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Italy; University of l'Aquila, Center of Excellence DEWS (Design Methodologies for Embedded Controllers, Wireless Interconnect and System-on-Chip), Department of Information Engineering, Computer Science and Mathematics (DISIM), L'Aquila, Italy; University of Lisbon, Centre for Management Studies of Superior Technical Institute, Portugal; Polytechnic Institute of Bragança, School of Technology and Management, Portugal},
    abstract={New technologies, such as Unmanned Aerial Vehicles (UAVs), are transforming facilities and vehicles into intelligent systems that will significantly modify logistic deliveries in any organization. With the appearance of automated vehicles, drones offer multiple new technological solutions that might trigger different delivery networks or boost new delivery services. Differently from the related works, where a single specific delivery system model is typically addressed, this paper deals with the use of UAVs for logistic deliveries focusing on a multi-criteria analysis of trendy drone-based system architectures. In particular, using the cross-efficiency Data Envelopment Analysis approach, a comparative analysis among three different delivery systems is performed: the classic system based on trucks only, the drone-only system using a fleet of drones, and the hybrid truck and drone system combining trucks and drones. The proposed technique constitutes an effective decision-making tool aimed at helping delivery companies in selecting the optimal delivery system architecture according to their specific needs. The effectiveness of the proposed methodology is shown by a simulation analysis based on a realistic data case study that pertains to the main logistic service providers. © 2021 IEEE.},
    author_keywords={Data Envelopment Analysis; Drones; Multi-criteria decision making; Parcel delivery; UAVs},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Carli, R., Jantzen, J. & Dotoli, M. (2021) Stochastic model predictive control of community energy storage under high renewable penetration IN 2021 29th Mediterranean Conference on Control and Automation, MED 2021., 973-978.
    [Bibtex]
    @CONFERENCE{Scarabaggio2021973,
    author={Scarabaggio, P. and Carli, R. and Jantzen, J. and Dotoli, M.},
    title={Stochastic model predictive control of community energy storage under high renewable penetration},
    journal={2021 29th Mediterranean Conference on Control and Automation, MED 2021},
    year={2021},
    pages={973-978},
    doi={10.1109/MED51440.2021.9480353},
    art_number={9480353},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113644274&doi=10.1109%2fMED51440.2021.9480353&partnerID=40&md5=6156faadbaf382124749771a715a60df},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Italy; Samso Energy Academy, Samso, Denmark},
    abstract={This paper focuses on the robust optimal on-line scheduling of a grid-connected energy community, where users are equipped with non-controllable (NCLs) and controllable loads (CLs) and share renewable energy sources (RESs) and a community energy storage system (CESS). Leveraging on the pricing signals gathered from the power grid and the predicted values for local production and demand, the energy activities inside the community are decided by a community energy manager. Differently from literature contributions commonly focused on deterministic optimal control schemes, to cope with the uncertainty that affects the forecast of the inflexible demand profile and the renewable production curve, we propose a Stochastic Model Predictive Control (MPC) approach aimed at minimizing the community energy costs. The effectiveness of the method is validated through numerical experiments on the marina of Ballen, Samso (Denmark). The comparison with a standard deterministic optimal control approach shows that the proposed stochastic MPC achieves higher performance in terms of minimized energy cost and maximized self-consumption of on-site production. © 2021 IEEE.},
    author_keywords={Community energy storage; Community renewables; Energy community; Energy management; On-line energy scheduling; Stochastic model predictive control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Carli, R., Cavone, G., Epicoco, N. & Dotoli, M. (2021) Modeling, estimation, and analysis of COVID-19 secondary waves: The Case of the Italian Country IN 2021 29th Mediterranean Conference on Control and Automation, MED 2021., 794-800.
    [Bibtex]
    @CONFERENCE{Scarabaggio2021794,
    author={Scarabaggio, P. and Carli, R. and Cavone, G. and Epicoco, N. and Dotoli, M.},
    title={Modeling, estimation, and analysis of COVID-19 secondary waves: The Case of the Italian Country},
    journal={2021 29th Mediterranean Conference on Control and Automation, MED 2021},
    year={2021},
    pages={794-800},
    doi={10.1109/MED51440.2021.9480319},
    art_number={9480319},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113602900&doi=10.1109%2fMED51440.2021.9480319&partnerID=40&md5=980feaa724975719c46c214ad1dcbfed},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Italy; University of l'Aquila, Computer Science and Mathematics (DISIM), Center of Excellence DEWS (Design Methodologies for Embedded Controllers, Wireless Interconnect and System-on-chip), Department of Information Engineering, L'Aquila, Italy},
    abstract={The recent trends of the COVID-19 research have been devoted to disease transmission modeling, with the aim of investigating the effects of different mitigation strategies mainly through scenario-based simulations. In this context we propose a novel non-linear time-varying model that effectively supports policy-makers in predicting and analyzing the dynamics of COVID-19 secondary waves. Specifically, this paper proposes an accurate SIRUCQTHE epidemiological model to get reliable predictions on the pandemic dynamics. Differently from the related literature, in the fitting phase, we make use of the google mobility reports to identify and predict the evolution of the infection rate. The effectiveness of the presented method is tested on the network of Italian regions. First, we describe the Italian epidemiological scenario in the COVID-19 second wave of contagions, showing the raw data available for the Italian scenario and discussing the main assumptions on the system parameters. Then, we present the different steps of the procedure used for the dynamical fitting of the SIRUCQTHE model. Finally, we compare the estimation results with the real data on the COVID-19 secondary waves in Italy. Provided the availability of reliable data to calibrate the model in heterogeneous scenarios, the proposed approach can be easily extended to cope with other scenarios. © 2021 IEEE.},
    author_keywords={COVID-19; Dynamical fitting; Estimation; Identification; Pandemic modeling},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Hosseini, S. M., Carli, R. & Dotoli, M. (2021) Robust Optimal Energy Management of a Residential Microgrid under Uncertainties on Demand and Renewable Power Generation. IN IEEE Transactions on Automation Science and Engineering, 18.618-637.
    [Bibtex]
    @ARTICLE{Hosseini2021618,
    author={Hosseini, S.M. and Carli, R. and Dotoli, M.},
    title={Robust Optimal Energy Management of a Residential Microgrid under Uncertainties on Demand and Renewable Power Generation},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2021},
    volume={18},
    number={2},
    pages={618-637},
    doi={10.1109/TASE.2020.2986269},
    art_number={9093973},
    note={cited By 39},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100266630&doi=10.1109%2fTASE.2020.2986269&partnerID=40&md5=ab5c0a8a4eb48977e42d7186b3d4fc3b},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={Smart microgrids are experiencing an increasing growth due to their economic, social, and environmental benefits. However, the inherent intermittency of renewable energy sources (RESs) and users' behavior lead to significant uncertainty, which implies important challenges on the system design. Facing this issue, this article proposes a novel robust framework for the day-ahead energy scheduling of a residential microgrid comprising interconnected smart users, each owning individual RESs, noncontrollable loads (NCLs), energy- and comfort-based CLs, and individual plug-in electric vehicles (PEVs). Moreover, users share a number of RESs and an energy storage system (ESS). We assume that the microgrid can buy/sell energy from/to the grid subject to quadratic/linear dynamic pricing functions. The objective of scheduling is minimizing the expected energy cost while satisfying device/comfort/contractual constraints, including feasibility constraints on energy transfer between users and the grid under RES generation and users' demand uncertainties. To this aim, first, we formulate a min-max robust problem to obtain the optimal CLs scheduling and charging/discharging strategies of the ESS and PEVs. Then, based on the duality theory for multi-objective optimization, we transform the min-max problem into a mixed-integer quadratic programming problem to solve the equivalent robust counterpart of the scheduling problem effectively. We deal with the conservativeness of the proposed approach for different scenarios and quantify the effects of the budget of uncertainty on the cost saving, the peak-to-average ratio, and the constraints' violation rate. We validate the effectiveness of the method on a simulated case study and we compare the results with a related robust approach. Note to Practitioners - This article is motivated by the emerging need for intelligent demand-side management (DSM) approaches in smart microgrids in the presence of both power generation and demand uncertainties. The proposed robust energy scheduling strategy allows the decision maker (i.e., the energy manager of the microgrid) to make a satisfactory tradeoff between the users' payment and constraints' violation rate considering the energy cost saving, the system technical limitations and the users' comfort by adjusting the values of the budget of uncertainty. The proposed framework is generic and flexible as it can be applied to different structures of microgrids considering various types of uncertainties in energy generation or demand. © 2004-2012 IEEE.},
    author_keywords={Demand-side management (DSM); microgrid; mixed-integer quadratic programming (MIQP); optimal energy scheduling; optimization; robust control},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Proia, S., Carli, R., Cavone, G. & Dotoli, M. (2021) Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey. IN IEEE Transactions on Automation Science and Engineering, ..
    [Bibtex]
    @ARTICLE{Proia2021,
    author={Proia, S. and Carli, R. and Cavone, G. and Dotoli, M.},
    title={Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2021},
    doi={10.1109/TASE.2021.3131011},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121365732&doi=10.1109%2fTASE.2021.3131011&partnerID=40&md5=eae23f3b0dbfaf83b934942c9c0736ff},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, 70126 Bari, Italy.; Department of Electrical and Information Engineering, Polytechnic of Bari, 70126 Bari, Italy (e-mail: ti.ab1651259597ilop@1651259597enova1651259597c.ana1651259597izarg1651259597)},
    abstract={The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals live and work while providing a substantial influence on the manufacturing scenario. The key enabling technology that has made Industry 4.0 a concrete reality is without doubt collaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of employees' safety and well-being, together with the increase of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this paper presents an accurate review of the most recent and relevant contributions to the related literature, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and the promising future developments in the context of the digital evolution. Author},
    author_keywords={cobots; Collaboration; collaborative robotics; efficiency.; Ergonomics; ergonomics; HRC control systems; human-robot collaboration (HRC); industrial automation; Industry 4.0; Manufacturing; Robots; safety; Safety; Service robots; Task analysis},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Carli, R., Cavone, G., Epicoco, N. & Dotoli, M. (2021) Nonpharmaceutical Stochastic Optimal Control Strategies to Mitigate the COVID-19 Spread. IN IEEE Transactions on Automation Science and Engineering, ..
    [Bibtex]
    @ARTICLE{Scarabaggio2021,
    author={Scarabaggio, P. and Carli, R. and Cavone, G. and Epicoco, N. and Dotoli, M.},
    title={Nonpharmaceutical Stochastic Optimal Control Strategies to Mitigate the COVID-19 Spread},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2021},
    doi={10.1109/TASE.2021.3111338},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115686920&doi=10.1109%2fTASE.2021.3111338&partnerID=40&md5=ef02a3b0f8f2eeff0ec2f0e0a861a0b8},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, 70126 Bari, Italy (e-mail: ti.ab1651259597ilop@1651259597oigga1651259597barac1651259597s.olo1651259597ap1651259597); Department of Electrical and Information Engineering, Polytechnic of Bari, 70126 Bari, Italy.; Department of Information Engineering, Computer Science and Mathematics (DISIM), University of L'Aquila, 67100 L'Aquila, Italy, and also with the Center of Excellence DEWS (Design methodologies for Embedded controllers, Wireless interconnect and System-on-chip), University of L'Aquila, 67100 L'Aquila, Italy.},
    abstract={This article proposes a stochastic nonlinear model predictive controller to support policymakers in determining robust optimal nonpharmaceutical strategies to tackle the COVID-19 pandemic waves. First, a time-varying SIRCQTHE epidemiological model is defined to get predictions on the pandemic dynamics. A stochastic model predictive control problem is then formulated to select the necessary control actions (i.e., restrictions on the mobility for different socioeconomic categories) to minimize the socioeconomic costs. In particular, considering the uncertainty characterizing this decision-making process, we ensure that the capacity of the healthcare system is not violated in accordance with a chance constraint approach. The effectiveness of the presented method in properly supporting the definition of diversified nonpharmaceutical strategies for tackling the COVID-19 spread is tested on the network of Italian regions using real data. The proposed approach can be easily extended to cope with other countries' characteristics and different levels of the spatial scale. IEEE},
    author_keywords={COVID-19; COVID-19; Data models; epidemic control; Medical services; mitigation strategies; pandemic modeling; Pandemics; Predictive models; stochastic model predictive control (MPC).; Stochastic processes; Uncertainty},
    document_type={Article},
    source={Scopus},
    }

2020

  • [DOI] Dotoli, M. & Epicoco, N. (2020) Integrated Network Design of Agile Resource-Efficient Supply Chains under Uncertainty. IN IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50.4530-4544.
    [Bibtex]
    @ARTICLE{Dotoli20204530,
    author={Dotoli, M. and Epicoco, N.},
    title={Integrated Network Design of Agile Resource-Efficient Supply Chains under Uncertainty},
    journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
    year={2020},
    volume={50},
    number={11},
    pages={4530-4544},
    doi={10.1109/TSMC.2018.2854620},
    art_number={8421073},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050603527&doi=10.1109%2fTSMC.2018.2854620&partnerID=40&md5=7ca65828d2287dd518f0fe708d036197},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={We present a novel method for supply chain network (SCN) design under uncertainty that jointly solves the candidate selection, the order allocation, and the transportation mode selection problems. In the proposed method, four steps are executed in cascade. First, a cross-efficiency fuzzy data envelopment analysis technique ranks the candidates of each SCN stage in a multiobjective perspective and under uncertain data. Second, a fuzzy linear integer programming model determines the supplies required from each actor by those belonging to the subsequent SCN stage. This step determines the best compromise between candidates' efficiencies, estimated costs, and delivery time, considering stock levels and uncertain capacity of actors, while satisfying customers' uncertain demand. The third step evaluates the efficiency of the transportation alternatives under uncertain data to optimally plan the transport chain. Finally, the fourth step measures the performance of the designed SCN. The method provides as a result an integrated, agile, and resource-efficient design of the SCN under uncertainty. Its application to a case study shows it is effective in selecting the SCN partners, assigning the corresponding order quantities, and delivering them to customers. Validation is obtained by comparison with well-known approaches and statistical analysis. © 2018 IEEE.},
    author_keywords={Agility; data envelopment analysis (DEA); efficiency; fuzzy set theory; supply chain network (SCN) design},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Hosseini, S. M., Carli, R., Parisio, A. & Dotoli, M. (2020) Robust Decentralized Charge Control of Electric Vehicles under Uncertainty on Inelastic Demand and Energy Pricing IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 1834-1839.
    [Bibtex]
    @CONFERENCE{Hosseini20201834,
    author={Hosseini, S.M. and Carli, R. and Parisio, A. and Dotoli, M.},
    title={Robust Decentralized Charge Control of Electric Vehicles under Uncertainty on Inelastic Demand and Energy Pricing},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2020},
    volume={2020-October},
    pages={1834-1839},
    doi={10.1109/SMC42975.2020.9283440},
    art_number={9283440},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098877625&doi=10.1109%2fSMC42975.2020.9283440&partnerID=40&md5=51febb550a1cfd7909fd0ff26527f5b0},
    affiliation={Polytechnic of Bari, Dept. of Electrical and Information Engineering, Bari, Italy; School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom},
    abstract={This paper proposes a novel robust decentralized charging strategy for large-scale EV fleets. The system incorporates multiple EVs as well as inelastic loads connected to the power grid under power flow limits. We aim at minimizing both the overall charging energy payment and the aggregated battery degradation cost of EVs while preserving the robustness of the solution against uncertainties in the price of the electricity purchased from the power grid and the demand of inelastic loads. The proposed approach relies on the so-called uncertainty set-based robust optimization. The resulting charge scheduling problem is formulated as a tractable quadratic programming problem where all the EVs' decisions are coupled via the grid resource-sharing constraints and the robust counterpart supporting constraints. We adopt an extended Jacobi-Proximal Alternating Direction Method of Multipliers algorithm to solve effectively the formulated scheduling problem in a decentralized fashion, thus allowing the method applicability to large scale fleets. Simulations of a realistic case study show that the proposed approach not only reduces the costs of the EV fleet, but also maintains the robustness of the solution against perturbations in different uncertain parameters, which is beneficial for both EVs' users and the power grid. © 2020 IEEE.},
    author_keywords={ADMM; Charge scheduling; Decentralized control; Electric vehicles; Large-scale optimization; Robust optimization; Set-based uncertainty},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., La Scala, M., Carli, R. & Dotoli, M. (2020) Analyzing the Effects of COVID-19 Pandemic on the Energy Demand: The Case of Northern Italy IN 12th AEIT International Annual Conference, AEIT 2020..
    [Bibtex]
    @CONFERENCE{Scarabaggio2020,
    author={Scarabaggio, P. and La Scala, M. and Carli, R. and Dotoli, M.},
    title={Analyzing the Effects of COVID-19 Pandemic on the Energy Demand: The Case of Northern Italy},
    journal={12th AEIT International Annual Conference, AEIT 2020},
    year={2020},
    doi={10.23919/AEIT50178.2020.9241136},
    art_number={9241136},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097170993&doi=10.23919%2fAEIT50178.2020.9241136&partnerID=40&md5=a3abf95802bb66dc9a2d8715976cc126},
    affiliation={Polytechnic of Bari, Dept. of Electrical and Information Engineering, Bari, Italy},
    abstract={The COVID-19 crisis is profoundly influencing the global economic framework due to restrictive measures adopted by governments worldwide. Finding real-time data to correctly quantify this impact is very significant but not as straightforward. Nevertheless, an analysis of the power demand profiles provides insight into the overall economic trends. To accurately assess the change in energy consumption patterns, in this work we employ a multi-layer feed-forward neural network that calculates an estimation of the aggregated power demand in the north of Italy, (i.e, in one of the European areas that were most affected by the pandemics) in the absence of the COVID-19 emergency. After assessing the forecasting model reliability, we compare the estimation with the ground truth data to quantify the variation in power consumption. Moreover, we correlate this variation with the change in mobility behaviors during the lockdown period by employing the Google mobility report data. From this unexpected and unprecedented situation, we obtain some intuition regarding the power system macro-structure and its relation with the overall people's mobility. © 2020 AEIT.},
    author_keywords={COVID-19; Lockdown; Machine learning; Neural networks; Power systems},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2020) A dynamic programming approach for the decentralized control of discrete optimizers with quadratic utilities and shared constraint IN 2020 28th Mediterranean Conference on Control and Automation, MED 2020., 611-616.
    [Bibtex]
    @CONFERENCE{Carli2020611,
    author={Carli, R. and Dotoli, M.},
    title={A dynamic programming approach for the decentralized control of discrete optimizers with quadratic utilities and shared constraint},
    journal={2020 28th Mediterranean Conference on Control and Automation, MED 2020},
    year={2020},
    pages={611-616},
    doi={10.1109/MED48518.2020.9183012},
    art_number={9183012},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092158668&doi=10.1109%2fMED48518.2020.9183012&partnerID=40&md5=e3c2836d54651610b499a9686ac98fe7},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Italy},
    abstract={This paper addresses the problem of controlling a large set of agents, each with a quadratic utility function depending on individual combinatorial choices, and all sharing an affine constraint on available resources. Such a problem is formulated as an integer mono-constrained bounded quadratic knapsack problem. Differently from the centralized approaches typically proposed in the related literature, we present a new decentralized algorithm to solve the problem approximately in polynomial time by decomposing it into a finite series of sub-problems. We assume a minimal communication structure through the presence of a central coordinator that ensures the information exchange between agents. The proposed solution relies on a decentralized control algorithm that combines discrete dynamic programming with additive decomposition and value functions approximation. The optimality and complexity of the presented strategy are discussed, highlighting that the algorithm constitutes a fully polynomial approximation scheme. Numerical experiments are presented to show the effectiveness of the approach in the optimal resolution of large-scale instances. © 2020 IEEE.},
    author_keywords={Decentralized optimization; Dynamic programming; Fully polynomial-time approximation scheme; Knapsack problem},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Cavone, G., Epicoco, N. & Dotoli, M. (2020) Process re-engineering based on colored petri nets: The case of an Italian textile company IN 2020 28th Mediterranean Conference on Control and Automation, MED 2020., 856-861.
    [Bibtex]
    @CONFERENCE{Cavone2020856,
    author={Cavone, G. and Epicoco, N. and Dotoli, M.},
    title={Process re-engineering based on colored petri nets: The case of an Italian textile company},
    journal={2020 28th Mediterranean Conference on Control and Automation, MED 2020},
    year={2020},
    pages={856-861},
    doi={10.1109/MED48518.2020.9182937},
    art_number={9182937},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092143469&doi=10.1109%2fMED48518.2020.9182937&partnerID=40&md5=8c365f0bdb732312eac56e75db5e46d8},
    affiliation={Polytechnic of Bari, Dept. of Elettrical and Information Engineering, Bari, Italy; Center of Excellence DEWS, University of l'Aquila, Dept. of Information Engineering, Computer Science and Mathematics, L'Aquila, Italy},
    abstract={Business process re-engineering is crucial for manufacturing companies to improve their productivity and efficiency. The identification of the main criticalities affecting the production processes and the implementation of effective re-engineering solutions can significantly reduce the company losses. However, such actions can be unsuccessful if suitable preliminary investigations on the effectiveness of the solutions are not performed. This paper proposes an integrated process re-engineering technique that allows to: identify workflows via the Unified Modeling Language; model and simulate the business process via Colored Petri Nets (CPNs); detect bottlenecks and waste sources through the Value Stream Mapping tool; rank the impact of the detected criticalities via a mathematical formulation of the Genba-Shikumi lean philosophy; simulate the re-engineering actions and evaluate their effectiveness using the CPN model. The aim is to offer an intuitive tool for strategic decision making, deployable at a managerial level in a digital twin approach. The proposed technique is tested on a textile company located in Southern Italy, showing its effectiveness in removing inefficiencies and ensuring the continuous improvement of the production process. © 2020 IEEE.},
    author_keywords={Colored Petri Nets; Genba-Shikumi; Manufacturing; Process Re-engineering; Unified Modeling Language},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Carli, R., Cavone, G. & Dotoli, M. (2020) Smart control strategies for primary frequency regulation through electric vehicles: A battery degradation perspective. IN Energies, 13..
    [Bibtex]
    @ARTICLE{Scarabaggio2020,
    author={Scarabaggio, P. and Carli, R. and Cavone, G. and Dotoli, M.},
    title={Smart control strategies for primary frequency regulation through electric vehicles: A battery degradation perspective},
    journal={Energies},
    year={2020},
    volume={13},
    number={17},
    doi={10.3390/en13174586},
    art_number={4586},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090919511&doi=10.3390%2fen13174586&partnerID=40&md5=d7f07f0a819d149b5f1c143b707e731d},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, Bari, 70125, Italy},
    abstract={Nowadays, due to the decreasing use of traditional generators in favor of renewable energy sources, power grids are facing a reduction of system inertia and primary frequency regulation capability. Such an issue is exacerbated by the continuously increasing number of electric vehicles (EVs), which results in enforcing novel approaches in the grid operations management. However, from being an issue, the increase of EVs may turn to be a solution to several power system challenges. In this context, a crucial role is played by the so-called vehicle-to-grid (V2G) mode of operation, which has the potential to provide ancillary services to the power grid, such as peak clipping, load shifting, and frequency regulation. More in detail, EVs have recently started to be effectively used for one of the most traditional frequency regulation approaches: the so-called frequency droop control (FDC). This is a primary frequency regulation, currently obtained by adjusting the active power of generators in the main grid. Because to the decommissioning of traditional power plants, EVs are thus recognized as particularly valuable solutions since they can respond to frequency deviation signals by charging or discharging their batteries. Against this background, we address frequency regulation of a power grid model including loads, traditional generators, and several EVs. The latter independently participate in the grid optimization process providing the grid with ancillary services, namely the FDC. We propose two novel control strategies for the optimal control of the batteries of EVs during the frequency regulation service. On the one hand, the control strategies ensure re-balancing the power and stabilizing the frequency of the main grid. On the other hand, the approaches are able to satisfy different types of needs of EVs during the charging process. Differently from the related literature, where the EVs perspective is generally oriented to achieve the optimal charge level, the proposed approaches aim at minimizing the degradation of battery devices. Finally, the proposed strategies are compared with other state-of-the-art V2G control approaches. The results of numerical experiments using a realistic power grid model show the effectiveness of the proposed strategies under the actual operating conditions. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).},
    author_keywords={Electric vehicle batteries (EVBs); Electric vehicles (EVs); Frequency droop control (FDC); Vehicle-to-grid (V2G)},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Carli, R. & Dotoli, M. (2020) A game-theoretic control approach for the optimal energy storage under power flow constraints in distribution networks IN IEEE International Conference on Automation Science and Engineering., 1281-1286.
    [Bibtex]
    @CONFERENCE{Scarabaggio20201281,
    author={Scarabaggio, P. and Carli, R. and Dotoli, M.},
    title={A game-theoretic control approach for the optimal energy storage under power flow constraints in distribution networks},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2020},
    volume={2020-August},
    pages={1281-1286},
    doi={10.1109/CASE48305.2020.9216800},
    art_number={9216800},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094128798&doi=10.1109%2fCASE48305.2020.9216800&partnerID=40&md5=e4802c482f96ac90afd6c7a2c7f2b199},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Bari, Italy},
    abstract={Traditionally, the management of power distribution networks relies on the centralized implementation of the optimal power flow and, in particular, the minimization of the generation cost and transmission losses. Nevertheless, the increasing penetration of both renewable energy sources and independent players such as ancillary service providers in modern networks have made this centralized framework inadequate. Against this background, we propose a noncooperative game-theoretic framework for optimally controlling energy storage systems (ESSs) in power distribution networks. Specifically, in this paper we address a power grid model that comprehends traditional loads, distributed generation sources and several independent energy storage providers, each owning an individual ESS. Through a rolling-horizon approach, the latter participate in the grid optimization process, aiming both at increasing the penetration of distributed generation and leveling the power injection from the transmission grid. Our framework incorporates not only economic factors but also grid stability aspects, including the power flow constraints. The paper fully describes the distribution grid model as well as the underlying market hypotheses and policies needed to force the energy storage providers to find a feasible equilibrium for the network. Numerical experiments based on the IEEE 33-bus system confirm the effectiveness and resiliency of the proposed framework. © 2020 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Cavone, G., Pippia, T., Schutter, B. D. & Dotoli, M. (2020) A Robust MPC Energy Scheduling Strategy for Multi-Carrier Microgrids IN IEEE International Conference on Automation Science and Engineering., 152-158.
    [Bibtex]
    @CONFERENCE{Carli2020152,
    author={Carli, R. and Cavone, G. and Pippia, T. and Schutter, B.D. and Dotoli, M.},
    title={A Robust MPC Energy Scheduling Strategy for Multi-Carrier Microgrids},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2020},
    volume={2020-August},
    pages={152-158},
    doi={10.1109/CASE48305.2020.9216875},
    art_number={9216875},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094114652&doi=10.1109%2fCASE48305.2020.9216875&partnerID=40&md5=92ef257518791ef22242636d1c989285},
    affiliation={Polytechnic of Bari, Dept. of Electrical and Information Engineering, Bari, Italy; Delft University of Technology, Delft Center for Systems and Control, Delft, Netherlands},
    abstract={We present a Robust Model Predictive Control (RMPC) approach for multi-carrier microgrids, i.e., microgrids based on gas and electricity. The microgrid that we consider includes thermal loads, electrical loads, renewable energy sources, energy storage systems, heat pumps, and combined heat and power plants. Moreover, the system under control is affected by several external disturbances, e.g., uncertainty in renewable energy generation, electrical and thermal demand. The goal of the controller is to minimize the overall economical cost and the energy exchange with the main grid, while guaranteeing comfort. Whereas several RMPC methods have been developed for electrical or thermal microgrids, little or no attention has been devoted to robust control of multi-carrier microgrids. Therefore, we consider a novel RMPC algorithm that can improve the performance with respect to classical deterministic Model Predictive Control (Det-MPC) controllers in the context of multi-carrier microgrids. The RMPC method relies on the box-uncertainty-set robust optimization, where uncertain parameters are assumed to take their values from different intervals independently. The RMPC approach is able to successfully satisfy the constraints even in the presence of the mentioned disturbances. Simulations of a realistic residential case study show the benefits of the proposed approach with respect to Det-MPC controllers. © 2020 IEEE.},
    author_keywords={Energy and Environment-Aware Automation; Microgrid; Optimization and Optimal Control; Robust Model Predictive Control; Set-based Uncertainty},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Jia, Q. -S. (2020) Guest Editorial Special Section on the 2017 International Conference on Automation Science and Engineering. IN IEEE Transactions on Automation Science and Engineering, 17.1095-1096.
    [Bibtex]
    @ARTICLE{Dotoli20201095,
    author={Dotoli, M. and Jia, Q.-S.},
    title={Guest Editorial Special Section on the 2017 International Conference on Automation Science and Engineering},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2020},
    volume={17},
    number={3},
    pages={1095-1096},
    doi={10.1109/TASE.2020.2990785},
    art_number={9131120},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087616647&doi=10.1109%2fTASE.2020.2990785&partnerID=40&md5=d74ffa09fbe26897b73ee82716e7f402},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70126, Italy; Department of Automation, Tsinghua University, Beijing, 100084, China},
    document_type={Editorial},
    source={Scopus},
    }
  • [DOI] Cavone, G., Dotoli, M., Epicoco, N., Morelli, D. & Seatzu, C. (2020) Design of Modern Supply Chain Networks Using Fuzzy Bargaining Game and Data Envelopment Analysis. IN IEEE Transactions on Automation Science and Engineering, 17.1221-1236.
    [Bibtex]
    @ARTICLE{Cavone20201221,
    author={Cavone, G. and Dotoli, M. and Epicoco, N. and Morelli, D. and Seatzu, C.},
    title={Design of Modern Supply Chain Networks Using Fuzzy Bargaining Game and Data Envelopment Analysis},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2020},
    volume={17},
    number={3},
    pages={1221-1236},
    doi={10.1109/TASE.2020.2977452},
    art_number={9040428},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087545403&doi=10.1109%2fTASE.2020.2977452&partnerID=40&md5=36c9b0b7af0bb44437e25bed1ffbd281},
    affiliation={Department of Electrical and Information Engineering, Polytechnic University of Bari, Bari, 70126, Italy; Department of Information Engineering Computer Science and Mathematics, University of l'Aquila, L'Aquila, 67100, Italy; Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 94720, Italy},
    abstract={This article proposes a novel methodology for multistage, multiproduct, multi-item, and closed-loop Supply Chain Network (SCN) design under uncertainty. The method considers that multiple products are manufactured by the SCN, each composed by multiple items, and that some of the sold products may require repair, refurbishing, or remanufacturing activities. We solve the two main decisions that take place in the medium-/short-term planning horizon, namely partners' selection and allocation of the received orders among them. The partners' selection problem is solved by a cross-efficiency fuzzy Data Envelopment Analysis technique, which allows evaluating the efficiency of each SCN member and ranking them against multiple conflicting objectives under uncertain data on their performance. Then, according to the estimated customers' demand, the order allocation problem is solved by a fuzzy bargaining game problem, where each SCN actor behaves to simultaneously maximize both its own profit and the service level of the overall SCN in terms of efficiency, costs, and lead time. An illustrative example from the literature is finally presented. Note to Practitioners-We present a decision tool to address the optimal design, performance evaluation, and continuous improvement of modern cooperative SCNs. We propose an effective method to jointly solve the members' selection and the orders' allocation, considering the complex structure of modern SCNs, the multiobjective nature of the problems, and the uncertainty characterizing economic markets. Competition within SCNs stages and cooperation along the chain are considered, with the aim to improve both financial and environmental sustainability, while ensuring the highest service levels to customers. © 2004-2012 IEEE.},
    author_keywords={Bargaining game; fuzzy set theory; order allocation; supplier selection; Supply Chain Network Design (SCND)},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2020) A Dynamic Programming Approach for the Decentralized Control of Energy Retrofit in Large-Scale Street Lighting Systems. IN IEEE Transactions on Automation Science and Engineering, 17.1140-1157.
    [Bibtex]
    @ARTICLE{Carli20201140,
    author={Carli, R. and Dotoli, M.},
    title={A Dynamic Programming Approach for the Decentralized Control of Energy Retrofit in Large-Scale Street Lighting Systems},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2020},
    volume={17},
    number={3},
    pages={1140-1157},
    doi={10.1109/TASE.2020.2966738},
    art_number={9007032},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087543588&doi=10.1109%2fTASE.2020.2966738&partnerID=40&md5=b2d2ba1ad644c81f451c0936fe963e18},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70125, Italy},
    abstract={This article proposes a decision-making procedure that supports the city energy manager in determining the optimal energy retrofit plan of an existing public street lighting system throughout a wide urban area. The proposed decision model aims at simultaneously maximizing the energy consumption reduction and achieving an optimal allocation of the retrofit actions among the street lighting subsystems, while efficiently using the available budget. The resulting optimization problem is formulated as a quadratic knapsack problem. The proposed solution relies on a decentralized control algorithm that combines discrete dynamic programming with additive decomposition and value functions approximation. The optimality and complexity of the presented strategy are investigated, demonstrating that the proposed algorithm constitutes a fully polynomial approximation scheme. Simulation results related to a real street lighting system in the city of Bari (Italy) are presented to show the effectiveness of the approach in the optimal energy management of large-scale street lighting systems. Note to Practitioners-This article addresses the emerging need for decision support tools for the energy management of urban street lighting systems. The proposed decision-making strategy allows city energy managers and local policy makers taking retrofit decisions on an existing public street lighting system throughout a wide urban area. The presented strategy can be implemented in any engineering software, providing decision makers with a low-complexity and scalable Information and Communication Technology (ICT) tool for the optimization of the energy efficiency and environmental sustainability of street lighting systems. © 2004-2012 IEEE.},
    author_keywords={Decision-making; dynamic programming; energy management; fully polynomial approximation scheme; optimization; urban street lighting},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Cavone, G., Montaruli, V., Van Den Boom, T. J. J. & Dotoli, M. (2020) Demand-Oriented Rescheduling of Railway Traffic in Case of Delays IN 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020., 1040-1045.
    [Bibtex]
    @CONFERENCE{Cavone20201040,
    author={Cavone, G. and Montaruli, V. and Van Den Boom, T.J.J. and Dotoli, M.},
    title={Demand-Oriented Rescheduling of Railway Traffic in Case of Delays},
    journal={7th International Conference on Control, Decision and Information Technologies, CoDIT 2020},
    year={2020},
    pages={1040-1045},
    doi={10.1109/CoDIT49905.2020.9263874},
    art_number={9263874},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098278130&doi=10.1109%2fCoDIT49905.2020.9263874&partnerID=40&md5=77e95b60271d0546bb0ca7e53e9fbfc4},
    affiliation={Polytechnic of Bari, Dept. of Elettrical and Information Engineering, Bari, Italy; Delft University of Technology, Delft Canter for Systems and Control, Netherlands},
    abstract={The railway sector is currently experiencing a rapid evolution from fully manual towards automatic rail traffic control systems, due to the growth of transport demand and networks complexity. One of the main issues is to automatically and effectively reschedule the railway traffic in case of unexpected events, thus avoiding dramatic drops in the system performance. In the literature, the majority of contributions aims at automatically minimizing the train delays or optimizing the railway system performance (e.g., energy consumption). However, such strategies are not always able to ensure satisfaction of passengers that in many cases experience the side-effects of the rescheduling actions (e.g., cancellation of train runs, cancellation of coincidences, rerouting of trains, etc.). In this paper, we propose a demandoriented train rescheduling automatic technique that minimizes simultaneously the train delays and the discomfort perceived by passengers. When an unexpected event occurs, the rescheduling problem is set, based on the current state and nominal timetable of the system and its passengers flows. Hence, the problem is solved providing the control actions necessary to minimize both the delays and number of passengers subject to severe side-effects. The rescheduling is here formulated as a mixed integer linear programming problem, where the operating rules of the railway network are represented by linear equality and inequality constraints, while the objective is a linear function to be minimized. The possible control actions consist in re-timing the rail traffic and modifying the connections among lines. The proposed technique is preliminarily evaluated on a test case and a discussion is provided on the outcomes. © 2020 IEEE.},
    author_keywords={demand-oriented rescheduling; passengers satisfaction; Railways},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Telmoudi, A. J., Toloo, M. & Viedma, E. H. (2020) Welcome IN 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020..
    [Bibtex]
    @CONFERENCE{Dotoli2020,
    author={Dotoli, M. and Telmoudi, A.J. and Toloo, M. and Viedma, E.H.},
    title={Welcome},
    journal={7th International Conference on Control, Decision and Information Technologies, CoDIT 2020},
    year={2020},
    doi={10.1109/CoDIT49905.2020.9263895},
    art_number={9263895},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098237456&doi=10.1109%2fCoDIT49905.2020.9263895&partnerID=40&md5=630582e542b3b8e1e19d72249c100123},
    affiliation={Polytechnic of Bari, Italy; University of Sousse, Tunisia; VSB-Technical University of Ostrava, Czech Republic; University of Granada, Spain},
    document_type={Editorial},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Carli, R. & Dotoli, M. (2020) A fast and effective algorithm for influence maximization in large-scale independent cascade networks IN 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020., 639-644.
    [Bibtex]
    @CONFERENCE{Scarabaggio2020639,
    author={Scarabaggio, P. and Carli, R. and Dotoli, M.},
    title={A fast and effective algorithm for influence maximization in large-scale independent cascade networks},
    journal={7th International Conference on Control, Decision and Information Technologies, CoDIT 2020},
    year={2020},
    pages={639-644},
    doi={10.1109/CoDIT49905.2020.9263914},
    art_number={9263914},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098236199&doi=10.1109%2fCoDIT49905.2020.9263914&partnerID=40&md5=003f7d44f921ecd0bf436dacb2d3e136},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Italy},
    abstract={A characteristic of social networks is the ability to quickly spread information between a large group of people. The widespread use of online social networks (e.g., Facebook) increases the interest of researchers on how influence propagates through these networks. One of the most important research issues in this field is the so-called influence maximization problem, which essentially consists in selecting the most influential users (i.e., those who are able to maximize the spread of influence through the social network). Due to its practical importance in various applications (e.g., viral marketing), such a problem has been studied in several variants. Nevertheless, the current open challenge in the resolution of the influence maximization problem still concerns achieving a good trade-off between accuracy and computational time. In this context, based on independent cascade modeling of social networks, we propose a novel low-complexity and highly accurate algorithm for selecting an initial group of nodes to maximize the spread of influence in large-scale networks. In particular, the key idea consists in iteratively removing the overlap of influence spread induced by different seed nodes. The application to several numerical experiments based on real datasets proves that the proposed algorithm effectively finds practical near-optimal solutions of the addressed influence maximization problem in a computationally efficient fashion. Finally, the comparison with the state of the art algorithms demonstrates that in large scale scenarios the proposed approach shows higher performance in terms of influence spread and running time. © 2020 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M., Jantzen, J., Kristensen, M. & Ben Othman, S. (2020) Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø. IN Energy, 198..
    [Bibtex]
    @ARTICLE{Carli2020,
    author={Carli, R. and Dotoli, M. and Jantzen, J. and Kristensen, M. and Ben Othman, S.},
    title={Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø},
    journal={Energy},
    year={2020},
    volume={198},
    doi={10.1016/j.energy.2020.117188},
    art_number={117188},
    note={cited By 39},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082001819&doi=10.1016%2fj.energy.2020.117188&partnerID=40&md5=6477046a8e48af719b8ab95085e45579},
    affiliation={Electrical and Information Engineering Dept., Politecnico di Bari, Via Orabona 4, Bari, 70125, Italy; Dept. of Financial and Management Engineering, University of the Aegean, Chios, Greece; Samso Energy Academy, Samsø, Denmark; CRIStAL Laboratory, Ecole-Central of Lille, Lille, France},
    abstract={This paper focuses on the Model Predictive Control (MPC) based energy scheduling of a smart microgrid equipped with non-controllable (i.e., with fixed power profile) and controllable (i.e., with flexible and programmable operation) electrical appliances, as well as photovoltaic (PV) panels, and a battery energy storage system (BESS). The proposed control strategy aims at a simultaneous optimal planning of the controllable loads, the shared resources (i.e., the storage system charge/discharge and renewable energy usage), and the energy exchange with the grid. The control scheme relies on an iterative finite horizon on-line optimization, implementing a mixed integer linear programming energy scheduling algorithm to maximize the self-supply with solar energy and/or minimize the daily cost of energy bought from the grid under time-varying energy pricing. At each time step, the resulting optimization problem is solved providing the optimal operations of controllable loads, the optimal amount of energy to be bought/sold from/to the grid, and the optimal charging/discharging profile for the BESS. The proposed energy scheduling approach is applied to the demand side management control of the marina of Ballen, Samsø (Denmark), where a smart microgrid is currently being implemented as a demonstrator in the Horizon2020 European research project SMILE. Simulations considering the marina electric consumption (340 boat sockets, a service building equipped with a sauna and a wastewater pumping station, and the harbour master's office equipped with a heat pump), PV production (60kWp), and the BESS (237 kWh capacity) based on a public real dataset are carried out on a one year time series with a 1 h resolution. Simulations indicate that the proposed approach allows 90% exploitation of the production of the PV plant. Furthermore, results are compared to a naïve control approach. The MPC based energy scheduling improves the self-supply by 1.6% compared to the naïve control. Optimization of the business economy using the MPC approach, instead, yields to 8.2% savings in the yearly energy cost with respect to the naïve approach. © 2020 Elsevier Ltd},
    author_keywords={Demand side management; Energy management; Energy storage; Microgrid; Model predictive control; On-line scheduling; Optimization algorithm; Renewable energy},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M., Digiesi, S., Facchini, F. & Mossa, G. (2020) Sustainable scheduling of material handling activities in labor-intensive warehouses: A decision and control model. IN Sustainability (Switzerland), 12..
    [Bibtex]
    @ARTICLE{Carli2020,
    author={Carli, R. and Dotoli, M. and Digiesi, S. and Facchini, F. and Mossa, G.},
    title={Sustainable scheduling of material handling activities in labor-intensive warehouses: A decision and control model},
    journal={Sustainability (Switzerland)},
    year={2020},
    volume={12},
    number={8},
    doi={10.3390/SU12083111},
    art_number={3111},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084607073&doi=10.3390%2fSU12083111&partnerID=40&md5=225791095c6b1ea49a9be39370e2fff5},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, Bari, 70125, Italy; Department of Mechanics, Mathematics and Management, Polytechnic of Bari, Via Orabona 4, Bari, 70125, Italy},
    abstract={In recent years, the continuous increase of greenhouse gas emissions has led many companies to investigate the activities that have the greatest impact on the environment. Recent studies estimate that around 10% of worldwide CO2 emissions derive from logistical supply chains. The considerable amount of energy required for heating, cooling, and lighting as well as material handling equipment (MHE) in warehouses represents about 20% of the overall logistical costs. The reduction of warehouses' energy consumption would thus lead to a significant benefit from an environmental point of view. In this context, sustainable strategies allowing the minimization of the cost of energy consumption due to MHE represent a new challenge in warehouse management. Consistent with this purpose, a two-step optimization model based on integer programming is developed in this paper to automatically identify an optimal schedule of the material handling activities of electric mobile MHEs (MMHEs) (i.e., forklifts) in labor-intensive warehouses from profit and sustainability perspectives. The resulting scheduling aims at minimizing the total cost, which is the sum of the penalty cost related to the makespan of the material handling activities and the total electricity cost of charging batteries. The approach ensures that jobs are executed in accordance with priority queuing and that the completion time of battery recharging is minimized. Realistic numerical experiments are conducted to evaluate the effects of integrating the scheduling of electric loads into the scheduling of material handling operations. The obtained results show the effectiveness of the model in identifying the optimal battery-charging schedule for a fleet of electric MMHEs from economic and environmental perspectives simultaneously. © 2020 by the authors.},
    author_keywords={Battery charging; Decision and control; Demand-side management; Green warehouse; Material handling activity; Mobile material handling equipment; Optimization; Sustainable scheduling; Warehouse energy management},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N. & Falagario, M. (2020) Multi-Criteria Decision Making techniques for the management of public procurement tenders: A case study. IN Applied Soft Computing Journal, 88..
    [Bibtex]
    @ARTICLE{Dotoli2020,
    author={Dotoli, M. and Epicoco, N. and Falagario, M.},
    title={Multi-Criteria Decision Making techniques for the management of public procurement tenders: A case study},
    journal={Applied Soft Computing Journal},
    year={2020},
    volume={88},
    doi={10.1016/j.asoc.2020.106064},
    art_number={106064},
    note={cited By 25},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077767281&doi=10.1016%2fj.asoc.2020.106064&partnerID=40&md5=eccbdda5b4995aaf45ca9d623d896b82},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy},
    abstract={Multi-Criteria Decision Making (MCDM) techniques are mathematical tools that help decision makers evaluating and ranking in an automatic way many possible alternatives over multiple conflicting criteria in highly complex situations. Several MCDM approaches exist, and their application fields are numerous, including the Supplier Selection Problem (SSP), which is an important problem in the management field. The aim of this paper is to perform a comparative analysis among some selected well-known MCDM techniques to show how they can properly support the specific decision making process of Public Procurement (PP) tenders, which is a particular type of the SSP, characterized by very stringent rules, thus requiring a specific assessment. Indeed, PP is a field characterized by the need for transparency, objectivity, and non-discrimination, which requires tendering organizations to explicitly state the adopted awarding method, the chosen decision criteria, and their relative importance in the call for proposals. However, this field has been seldomly investigated in the pertinent literature and thus the aim of this paper is to overcome such a limitation. In particular, this work focuses on the most commonly adopted methods in the field of supplier selection, namely the Analytic Hierarchy Process (AHP), the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), the Multi Attribute Utility Theory (MAUT), and the Data Envelopment Analysis (DEA). First, we adapt these techniques to the PP problem and its requirements. Then, by means of some real tenders at a European Institution, the selected techniques are compared with each other and with the currently adopted methodology in their classical deterministic setting, to identify which method best suits the specific requirements of PP tenders. Hence, since nowadays uncertainty is inherent in data from real applications, and can be modelled by expert evaluations through fuzzy logic, the comparison is extended to the fuzzy counterparts of two of the most promising selected approaches, i.e., the Fuzzy AHP and the Fuzzy DEA, showing that these methods can be effectively applied to the PP sector also in the presence of uncertainty on the tenders data. © 2020 Elsevier B.V.},
    author_keywords={Compensatory models; Multi-Criteria Decision Making; Public procurement},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R., Cavone, G., Othman, S. B. & Dotoli, M. (2020) IoT based architecture for model predictive control of HVAC systems in smart buildings. IN Sensors (Switzerland), 20..
    [Bibtex]
    @ARTICLE{Carli2020,
    author={Carli, R. and Cavone, G. and Othman, S.B. and Dotoli, M.},
    title={IoT based architecture for model predictive control of HVAC systems in smart buildings},
    journal={Sensors (Switzerland)},
    year={2020},
    volume={20},
    number={3},
    doi={10.3390/s20030781},
    art_number={781},
    note={cited By 34},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079071499&doi=10.3390%2fs20030781&partnerID=40&md5=b68287ad61a3091865fc7546425dce95},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, Bari, 70125, Italy; CRIStAL Laboratory UML 9189, Ecole-Central of Lille, Villeneuve d’Ascq, 59655, France},
    abstract={The efficient management of Heating Ventilation and Air Conditioning (HVAC) systems in smart buildings is one of the main applications of the Internet of Things (IoT) paradigm. In this paper we propose an IoT based architecture for the implementation of Model Predictive Control (MPC) of HVAC systems in real environments. The considered MPC algorithm optimizes on line, in a closed-loop control fashion, both the indoor thermal comfort and the related energy consumption for a single zone environment. Thanks to the proposed IoT based architecture, the sensing, control, and actuating subsystems are all connected to the Internet, and a remote interface with the HVAC control system is guaranteed to end-users. In particular, sensors and actuators communicate with a remote database server and a control unit, which provides the control actions to be actuated in the HVAC system; users can set remotely the control mode and related set-points of the system; while comfort and environmental indices are transferred via the Internet and displayed on the end-users’ interface. The proposed IoT based control architecture is implemented and tested in a campus building at the Polytechnic of Bari (Italy) in a proof of concept perspective. The effectiveness of the proposed control algorithm is assessed in the real environment evaluating both the thermal comfort results and the energy savings with respect to a classical thermostat regulation approach. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.},
    author_keywords={Heating ventilation and air conditioning system; Internet of things; Model predictive control; Predicted mean vote; Smart buildings},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Ben Cheikh-Graiet, S., Dotoli, M. & Hammadi, S. (2020) A Tabu Search based metaheuristic for dynamic carpooling optimization. IN Computers and Industrial Engineering, 140..
    [Bibtex]
    @ARTICLE{BenCheikh-Graiet2020,
    author={Ben Cheikh-Graiet, S. and Dotoli, M. and Hammadi, S.},
    title={A Tabu Search based metaheuristic for dynamic carpooling optimization},
    journal={Computers and Industrial Engineering},
    year={2020},
    volume={140},
    doi={10.1016/j.cie.2019.106217},
    art_number={106217},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077798452&doi=10.1016%2fj.cie.2019.106217&partnerID=40&md5=2652f6e49f0547e51b9a72ee41646328},
    affiliation={CRIStAL – Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) – UMR 9189, Centrale Lille, France; DEE – Politecnico di Bari, Italy},
    abstract={The carpooling problem consists in matching a set of riders’ requests with a set of drivers’ offers by synchro-nizing their origins, destinations and time windows. The paper presents the so-called Dynamic Carpooling Optimization System (DyCOS), a system which supports the automatic and optimal ridematching process be-tween users on very short notice or even en-route. Nowadays, there are numerous research contributions that revolve around the carpooling problem, notably in the dynamic context. However, the problem's high complex-ity and the real time aspect are still challenges to overcome when addressing dynamic carpooling. To counter these issues, DyCOS takes decisions using a novel Tabu Search based metaheuristic. The proposed algorithm employs an explicit memory system and several original searching strategies developed to make optimal deci-sions automatically. To increase users’ satisfaction, the proposed metaheuristic approach manages the transfer process and includes the possibility to drop off the passenger at a given walking distance from his destination or at a transfer node. In addition, the detour concept is used as an original aspiration process, to avoid the entrapment by local solutions and improve the generated solution. For a rigorous assessment of generated so-lutions, while considering the importance and interaction among the optimization criteria, the algorithm adopts the Choquet integral operator as an aggregation approach. To measure the effectiveness of the proposed method, we develop a simulation environment based on actual carpooling demand data from the metropolitan area of Lille in the north of France. © 2020 Elsevier Ltd},
    author_keywords={Automatic ridematching; Choquet integral; Dynamic ridesharing; Multi-criterion optimization; Tabu search},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Scarabaggio, P., Grammatico, S., Carli, R. & Dotoli, M. (2020) A distributed, rolling-horizon demand side management algorithm under wind power uncertainty IN IFAC-PapersOnLine., 12620-12625.
    [Bibtex]
    @CONFERENCE{Scarabaggio202012620,
    author={Scarabaggio, P. and Grammatico, S. and Carli, R. and Dotoli, M.},
    title={A distributed, rolling-horizon demand side management algorithm under wind power uncertainty},
    journal={IFAC-PapersOnLine},
    year={2020},
    volume={53},
    number={2},
    pages={12620-12625},
    doi={10.1016/j.ifacol.2020.12.1830},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105077171&doi=10.1016%2fj.ifacol.2020.12.1830&partnerID=40&md5=ee3d9dd2c0187078aed713ccc87a026b},
    affiliation={Department of Electrical and Information Engineering of the, Polytechnic of Bari, Italy; Delft Center for Systems and Control, TU Delft, Netherlands},
    abstract={In this paper, we consider a smart grid where users behave selfishly, aiming at minimizing cost in the presence of uncertain wind power availability. We adopt a demand side management (DSM) model, where active users (so-called prosumers) have both private generation and local storage availability. These prosumers participate to the DSM strategy by updating their energy schedule, seeking to minimize their local cost, given their local preferences and the global grid constraints. The energy price is defined as a function of the aggregate load and the wind power availability. We model the resulting problem as a non-cooperative Nash game and propose a semi-decentralized algorithm to compute an equilibrium. To cope with the uncertainty in the wind power, we adopt a rolling-horizon approach, and in addition we use a stochastic optimization technique. We generate several wind power production scenarios from a defined probability density function (PDF), determining an approximate stochastic cost function. Simulations results on a real dataset show that the proposed approach generates lower individual costs compared to a standard expected value approach. Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license},
    author_keywords={Demand side management; Sample average approximation; Smart grid; Stochastic optimization},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Cavone, G., Epicoco, N., Scarabaggio, P. & Dotoli, M. (2020) Model predictive control to mitigate the COVID-19 outbreak in a multi-region scenario. IN Annual Reviews in Control, 50.373-393.
    [Bibtex]
    @ARTICLE{Carli2020373,
    author={Carli, R. and Cavone, G. and Epicoco, N. and Scarabaggio, P. and Dotoli, M.},
    title={Model predictive control to mitigate the COVID-19 outbreak in a multi-region scenario},
    journal={Annual Reviews in Control},
    year={2020},
    volume={50},
    pages={373-393},
    doi={10.1016/j.arcontrol.2020.09.005},
    note={cited By 29},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097753585&doi=10.1016%2fj.arcontrol.2020.09.005&partnerID=40&md5=adce49e71a999948867e93de3ae2e142},
    affiliation={Dept. of Electrical and Information Engineering, Polytechnic of Bari via Orabona 4, Bari, 70125, Italy; Center of Excellence DEWS, Dept. of Information Engineering, Computer Science and Mathematics, University of L'Aquila via Vetoio (Coppito 1), L'Aquila, 67100, Italy},
    abstract={The COVID-19 outbreak is deeply influencing the global social and economic framework, due to restrictive measures adopted worldwide by governments to counteract the pandemic contagion. In multi-region areas such as Italy, where the contagion peak has been reached, it is crucial to find targeted and coordinated optimal exit and restarting strategies on a regional basis to effectively cope with possible onset of further epidemic waves, while efficiently returning the economic activities to their standard level of intensity. Differently from the related literature, where modeling and controlling the pandemic contagion is typically addressed on a national basis, this paper proposes an optimal control approach that supports governments in defining the most effective strategies to be adopted during post-lockdown mitigation phases in a multi-region scenario. Based on the joint use of a non-linear Model Predictive Control scheme and a modified Susceptible-Infected-Recovered (SIR)-based epidemiological model, the approach is aimed at minimizing the cost of the so-called non-pharmaceutical interventions (that is, mitigation strategies), while ensuring that the capacity of the network of regional healthcare systems is not violated. In addition, the proposed approach supports policy makers in taking targeted intervention decisions on different regions by an integrated and structured model, thus both respecting the specific regional health systems characteristics and improving the system-wide performance by avoiding uncoordinated actions of the regions. The methodology is tested on the COVID-19 outbreak data related to the network of Italian regions, showing its effectiveness in properly supporting the definition of effective regional strategies for managing the COVID-19 diffusion. © 2020 Elsevier Ltd},
    author_keywords={COVID-19; Epidemic control; MPC; Multi-region SIR model; Pandemic modeling; Post-lockdown mitigation strategies; SIR model},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R., Cavone, G., Epicoco, N., Di Ferdinando, M., Scarabaggio, P. & Dotoli, M. (2020) Consensus-Based Algorithms for Controlling Swarms of Unmanned Aerial Vehicles. IN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12338 LNCS.84-99.
    [Bibtex]
    @ARTICLE{Carli202084,
    author={Carli, R. and Cavone, G. and Epicoco, N. and Di Ferdinando, M. and Scarabaggio, P. and Dotoli, M.},
    title={Consensus-Based Algorithms for Controlling Swarms of Unmanned Aerial Vehicles},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2020},
    volume={12338 LNCS},
    pages={84-99},
    doi={10.1007/978-3-030-61746-2_7},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093852465&doi=10.1007%2f978-3-030-61746-2_7&partnerID=40&md5=1c7da6000e4015880227c1eafe608f20},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Center of Excellence DEWS, Department of Information Engineering, Computer Science and Mathematics, University of L’Aquila, L’Aquila, Italy},
    abstract={Multiple Unmanned Aerial Vehicles (multi-UAVs) applications are recently growing in several fields, ranging from military and rescue missions, remote sensing, and environmental surveillance, to meteorology, logistics, and farming. Overcoming the limitations on battery lifespan and on-board processor capabilities, the coordinated use of multi-UAVs is indeed more suitable than employing a single UAV in certain tasks. Hence, the research on swarm of UAVs is receiving increasing attention, including multidisciplinary aspects, such as coordination, aggregation, network communication, path planning, information sensing, and data fusion. The focus of this paper is on defining novel control strategies for the deployment of multi-UAV systems in a distributed time-varying set-up, where UAVs rely on local communication and computation. In particular, modeling the dynamics of each UAV by a discrete-time integrator, we analyze the main swarm intelligence strategies, namely flight formation, swarm tracking, and social foraging. First, we define a distributed control strategy for steering the agents of the swarm towards a collection point. Then, we cope with the formation control, defining a procedure to arrange agents in a family of geometric formations, where the distance between each pair of UAVs is predefined. Subsequently, we focus on swarm tracking, defining a distributed mechanism based on the so-called leader-following consensus to move the entire swarm in accordance with a predefined trajectory. Moreover, we define a social foraging strategy that allows agents to avoid obstacles, by imposing on-line a time-varying formation pattern. Finally, through numerical simulations we show the effectiveness of the proposed algorithms. © 2020, Springer Nature Switzerland AG.},
    author_keywords={Swarm intelligence; Trajectory control; Unmanned Aerial Vehicles},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Digiesi, S., Dotoli, M. & Facchini, F. (2020) A control strategy for smart energy charging of warehouse material handling equipment IN Procedia Manufacturing., 503-510.
    [Bibtex]
    @CONFERENCE{Carli2020503,
    author={Carli, R. and Digiesi, S. and Dotoli, M. and Facchini, F.},
    title={A control strategy for smart energy charging of warehouse material handling equipment},
    journal={Procedia Manufacturing},
    year={2020},
    volume={42},
    pages={503-510},
    doi={10.1016/j.promfg.2020.02.041},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084243764&doi=10.1016%2fj.promfg.2020.02.041&partnerID=40&md5=795bb61103f666156bed4ba693a6503f},
    affiliation={Department of Electrical and Information Engineering, Polytechnic University of Bari, Via E. Orabona, 4, BARI, 70125, Italy; Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, Via E. Orabona, 4, BARI, 70125, Italy},
    abstract={The common driver of the 'green-warehouse' strategy is based on the reduction of energy consumption. In warehouses with 'picker-to-part' operations the minimization of energy due to material handling activities can be achieved by means of different policies: by adopting smart automatic picking systems, by adopting energy-efficient material handling equipment (MHE) as well as by identifying flexible layouts. In most cases, these strategies require investments characterized by high pay-back times. In this context, management strategies focused on the adoption of available equipment allow to increase the warehouse productivity at negligible costs. With this purpose, an optimization model is proposed in order to identify an optimal control strategy for the battery charging of a fleet of electric mobile MHE (e.g., forklifts), allowing minimizing the economic and environmental impact of material handling activities in labor-intensive warehouses. The resulting scheduling problem is formalized as an integer programming (IP) problem aimed at minimizing the total cost, which is the sum of the penalty cost related to makespan over all the material handling activities and the total electricity cost for charging batteries of MHE. Numerical experiments are used to investigate and quantify the effects of integrating the scheduling of electric loads into the scheduling of material handling operations. © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the International Conference on Industry 4.0 and Smart Manufacturing.},
    author_keywords={Battery smart charging; Green warehouse; Industrial/manufacturing demand side management; Integer programming; Material handling activity; Optimization; Warehouse energy management},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2020) Distributed Alternating Direction Method of Multipliers for Linearly Constrained Optimization over a Network. IN IEEE Control Systems Letters, 4.247-252.
    [Bibtex]
    @ARTICLE{Carli2020247,
    author={Carli, R. and Dotoli, M.},
    title={Distributed Alternating Direction Method of Multipliers for Linearly Constrained Optimization over a Network},
    journal={IEEE Control Systems Letters},
    year={2020},
    volume={4},
    number={1},
    pages={247-252},
    doi={10.1109/LCSYS.2019.2923078},
    art_number={8736857},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068640431&doi=10.1109%2fLCSYS.2019.2923078&partnerID=40&md5=7f07a37d7f737276c9983542771cba08},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={In this letter we address the distributed optimization problem for a network of agents, which commonly occurs in several control engineering applications. Differently from the related literature, where only consensus constraints are typically addressed, we consider a challenging distributed optimization set-up where agents rely on local communication and computation to optimize a sum of local objective functions, each depending on individual variables subject to local constraints, while satisfying linear coupling constraints. Thanks to the distributed scheme, the resolution of the optimization problem turns into designing an iterative control procedure that steers the strategies of agents-whose dynamics is decoupled-not only to be convergent to the optimal value but also to satisfy the coupling constraints. Based on duality and consensus theory, we develop a proximal Jacobian alternating direction method of multipliers (ADMM) for solving such a kind of linearly constrained convex optimization problems over a network. Using the monotone operator and fixed point mapping, we analyze the optimality of the proposed algorithm and establish its o(1/t) convergence rate. Finally, through numerical simulations we show that the proposed algorithm offers higher computational performances than recent distributed ADMM variants. © 2019 IEEE.},
    author_keywords={Distributed control; distributed optimization; optimization algorithms},
    document_type={Article},
    source={Scopus},
    }

2019

  • [DOI] Carli, R., Cavone, G., Dotoli, M., Epicoco, N., Manganiello, C. & Tricarico, L. (2019) ICT-based methodologies for sheet metal forming design: A survey on simulation approaches IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 128-133.
    [Bibtex]
    @CONFERENCE{Carli2019128,
    author={Carli, R. and Cavone, G. and Dotoli, M. and Epicoco, N. and Manganiello, C. and Tricarico, L.},
    title={ICT-based methodologies for sheet metal forming design: A survey on simulation approaches},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2019},
    volume={2019-October},
    pages={128-133},
    doi={10.1109/SMC.2019.8914082},
    art_number={8914082},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076787727&doi=10.1109%2fSMC.2019.8914082&partnerID=40&md5=b067223578db03937c9be68febc5f920},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Bari, Italy; Polytechnic of Bari, Department of Mechanics, Mathematics and Management, Bari, Italy},
    abstract={Sheet metal forming processes are widely adopted in manufacturing industries and in the recent years there has been a growing demand for sheet metal items with different shapes and characteristics. However, the traditional process is unable to meet the modern industrial requirements, mainly due to the high costs of dies and the long manufacturing time cycles. On the contrary, developing products with high speed, low cost, and high quality is a key issue. Therefore, new methods and technologies to speed up the sheet metal forming process while keeping costs limited are needed. In particular, a key issue is the proper design of the forming process, which can benefit from the use of Information and Communications Technology (ICT) simulation techniques. This paper investigates the recent trends on ICT-based methodologies for sheet metal forming to identify the foremost research areas whose advancement will lead meeting the modern market's needs. © 2019 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Cavone, G., Dotoli, M., Epicoco, N. & Scarabaggio, P. (2019) Model predictive control for thermal comfort optimization in building energy management systems IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 2608-2613.
    [Bibtex]
    @CONFERENCE{Carli20192608,
    author={Carli, R. and Cavone, G. and Dotoli, M. and Epicoco, N. and Scarabaggio, P.},
    title={Model predictive control for thermal comfort optimization in building energy management systems},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2019},
    volume={2019-October},
    pages={2608-2613},
    doi={10.1109/SMC.2019.8914489},
    art_number={8914489},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076778873&doi=10.1109%2fSMC.2019.8914489&partnerID=40&md5=3c982fb93adbcfb5202b48b60ad0f22d},
    affiliation={Information Engineering of the Polytechnic of Bari, Department of Electrical, Bari, 70125, Italy},
    abstract={Model Predictive Control (MPC) has recently gained special attention to efficiently regulate Heating, Ventilation and Air Conditioning (HVAC) systems of buildings, since it explicitly allows energy savings while maintaining thermal comfort criteria. In this paper we propose a MPC algorithm for the on-line optimization of both the indoor thermal comfort and the related energy consumption of buildings. We use Fanger's Predicted Mean Vote (PMV) as thermal comfort index, while to predict the energy performance of the building, we adopt a simplified thermal model. This allows computing optimal control actions by defining and solving a tractable non-linear optimization problem that incorporates the PMV index into the MPC cost function in addition to a term accounting for energy saving. The proposed MPC approach is implemented on a building automation system deployed in an office building located at the Polytechnic of Bari (Italy). Several on-field tests are performed to assess the applicability and efficacy of the control algorithm in a real environment against classical thermal comfort control approach based on the use of thermostats. © 2019 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Hosseini, S. M., Carli, R. & Dotoli, M. (2019) A residential demand-side management strategy under nonlinear pricing based on robust model predictive control IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 3243-3248.
    [Bibtex]
    @CONFERENCE{Hosseini20193243,
    author={Hosseini, S.M. and Carli, R. and Dotoli, M.},
    title={A residential demand-side management strategy under nonlinear pricing based on robust model predictive control},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2019},
    volume={2019-October},
    pages={3243-3248},
    doi={10.1109/SMC.2019.8913892},
    art_number={8913892},
    note={cited By 22},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076744329&doi=10.1109%2fSMC.2019.8913892&partnerID=40&md5=b8658f66ca7439fa6e7d9b02705e1b91},
    affiliation={Engineering of the Polytechnic of Bari, Department of Electrical and Information, Bari, 70125, Italy},
    abstract={This paper presents a real-time demand side management framework based on robust model predictive control (RMPC) for residential smart grids. The system incorporates a number of interconnected smart homes, each equipped with controllable and non-controllable loads, as well as a shared energy storage system (ESS). We aim at minimizing the users' energy payment and limiting the peak-to-average ratio (PAR) of the energy consumption while taking into account all device/comfort/contractual constraints, specifically the feasibility constraints on energy transferred between users and the power grid in presence of load demand uncertainty. We consider a quadratic cost function for energy bought from the grid. Firstly, the energy price and related constraints of the system are modeled. Then, a min-max robust problem is established to optimally schedule energy under an interval-based uncertainty set. We finally adopt model predictive control (MPC) to solve the resulting robust optimization problem iteratively over a finite-horizon time window based on the receding horizon concept. Moreover, the robustness of the proposed real-time approach against the level of conservativeness of the solution is addressed. The effectiveness of the method is validated through a simulated case study. © 2019 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Hosseini, S. M., Carli, R. & Dotoli, M. (2019) Robust energy scheduling of interconnected smart homes with shared energy storage under quadratic pricing IN IEEE International Conference on Automation Science and Engineering., 966-971.
    [Bibtex]
    @CONFERENCE{Hosseini2019966,
    author={Hosseini, S.M. and Carli, R. and Dotoli, M.},
    title={Robust energy scheduling of interconnected smart homes with shared energy storage under quadratic pricing},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2019},
    volume={2019-August},
    pages={966-971},
    doi={10.1109/COASE.2019.8843230},
    art_number={8843230},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072987292&doi=10.1109%2fCOASE.2019.8843230&partnerID=40&md5=6989d41f45c9a005b8a3dd9ebcf6bbfd},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={In this paper, we propose a novel robust framework for day-ahead energy scheduling of interconnected smart homes with shared energy storage system (ESS), taking into account users' behavior uncertainty. The objective is minimizing the total energy payment for each user while satisfying the constraint on the feasibility of energy transactions between users and the power grid in presence of data uncertainty. Unlike most existing robust scheduling frameworks that assume a linear cost function for energy purchased from the grid, our design presents a tractable robust optimization scheme to solve the energy scheduling problem with a more realistic quadratic cost function. We model device/comfort constraints as well as contractual obligations imposed by the power grid restricting the users' energy consumption to a maximum level at each time slot. Thus, in our problem, uncertainty affects both the quadratic objective function and linear contractual constraints. To solve the resulting problem, we first formulate a deterministic model of the scheduling problem, then establish a min-max robust counterpart, and finally apply some mathematical transformations to solve the equivalent problem. We also deal with the conservatism of the robust control algorithm and flexibility of the method for application to different settings. The validity and effectiveness of the proposed approach is verified by simulation results. © 2019 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Palmisano, V. (2019) A distributed control approach based on game theory for the optimal energy scheduling of a residential microgrid with shared generation and storage IN IEEE International Conference on Automation Science and Engineering., 960-965.
    [Bibtex]
    @CONFERENCE{Carli2019960,
    author={Carli, R. and Dotoli, M. and Palmisano, V.},
    title={A distributed control approach based on game theory for the optimal energy scheduling of a residential microgrid with shared generation and storage},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2019},
    volume={2019-August},
    pages={960-965},
    doi={10.1109/COASE.2019.8843141},
    art_number={8843141},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072980491&doi=10.1109%2fCOASE.2019.8843141&partnerID=40&md5=52d9b8791bf4c74bacd4b6c99e48e8b9},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={This paper presents a distributed control approach based on game theory for the energy scheduling of demand-side consumers sharing energy production and storage while purchasing further energy from the grid. The interaction between the controllers of consumers' loads and the manager of shared energy resources is modeled as a two-level game. The competition among consumers is formulated as a noncooperative game, while the interaction between the consumers' loads and the shared resources manager is formulated as a cooperative game. optimization problems are stated for each player to determine their own optimal strategies. The algorithms for loads controllers and shared resources' manager are implemented through a distributed approach. Numerical experiments show the effectiveness of the proposed scheme. © 2019 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Hosseini, S. M., Carli, R. & Dotoli, M. (2019) Robust day-ahead energy scheduling of a smart residential user under uncertainty IN 2019 18th European Control Conference, ECC 2019., 935-940.
    [Bibtex]
    @CONFERENCE{Hosseini2019935,
    author={Hosseini, S.M. and Carli, R. and Dotoli, M.},
    title={Robust day-ahead energy scheduling of a smart residential user under uncertainty},
    journal={2019 18th European Control Conference, ECC 2019},
    year={2019},
    pages={935-940},
    doi={10.23919/ECC.2019.8796182},
    art_number={8796182},
    note={cited By 23},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071523023&doi=10.23919%2fECC.2019.8796182&partnerID=40&md5=dbaf920bef232ca07b714d294ec35e28},
    affiliation={Department of Electrical and Information Engineering of the Polytechnic of Bari, Bari, 70125, Italy},
    abstract={This paper develops a robust optimization framework for the day-ahead energy scheduling of a grid-connected residential user. The system incorporates a renewable energy source (RES), a battery energy storage system (BESS) as well as elastic controllable and critical noncontrollable electrical appliances. The proposed approach copes with the fluctuation and intermittence of the RES generation and non-controllable load demand by a tractable robust optimization scheme requiring minimum information on the sources of uncertainty. The main objective is minimizing the total energy payment for the user considering operational/technical constraints and a contractual constraint penalizing the excessive use of energy. The presented framework allows the decision maker to define different robustness levels for uncertain variables, and to flexibly establish an equilibrium between user's payment and price of robustness. To validate the effectiveness of the proposed framework under uncertainty, we simulate the dynamics of a residential user as a case study. A comparison between the proposed robust approach and the same method with deterministic RES and loads profiles is carried out and discussed. © 2019 EUCA.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2019) Decentralized control for residential energy management of a smart users’ microgrid with renewable energy exchange. IN IEEE/CAA Journal of Automatica Sinica, 6.641-656.
    [Bibtex]
    @ARTICLE{Carli2019641,
    author={Carli, R. and Dotoli, M.},
    title={Decentralized control for residential energy management of a smart users’ microgrid with renewable energy exchange},
    journal={IEEE/CAA Journal of Automatica Sinica},
    year={2019},
    volume={6},
    number={3},
    pages={641-656},
    doi={10.1109/JAS.2019.1911462},
    art_number={8707104},
    note={cited By 52},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065583902&doi=10.1109%2fJAS.2019.1911462&partnerID=40&md5=dfb517c8f1147f9d27b6d1082a326908},
    affiliation={Department of Electrical and Information Engineering of the Polytechnic of Bari, Bari, 70125, Italy},
    abstract={This paper presents a decentralized control strategy for the scheduling of electrical energy activities of a microgrid composed of smart homes connected to a distributor and exchanging renewable energy produced by individually owned distributed energy resources. The scheduling problem is stated and solved with the aim of reducing the overall energy supply from the grid, by allowing users to exchange the surplus renewable energy and by optimally planning users x02BC controllable loads. We assume that each smart home can both buy x002F sell energy from x002F to the grid taking into account time-varying non-linear pricing signals. Simultaneously, smart homes cooperate and may buy x002F sell locally harvested renewable energy from x002F to other smart homes. The resulting optimization problem is formulated as a non-convex non-linear programming problem with a coupling of decision variables in the constraints. The proposed solution is based on a novel heuristic iterative decentralized scheme algorithm that suitably extends the Alternating Direction Method of Multipliers to a non-convex and decentralized setting. We discuss the conditions that guarantee the convergence of the presented algorithm. Finally, the application of the proposed technique to a case study under several scenarios shows its effectiveness. © 2014 Chinese Association of Automation.},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Epicoco, N. (2019) Emerging issues in control, decision, and ICT Approaches for smart waste management IN 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019., 446-451.
    [Bibtex]
    @CONFERENCE{Dotoli2019446,
    author={Dotoli, M. and Epicoco, N.},
    title={Emerging issues in control, decision, and ICT Approaches for smart waste management},
    journal={2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019},
    year={2019},
    pages={446-451},
    doi={10.1109/CoDIT.2019.8820603},
    art_number={8820603},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072826787&doi=10.1109%2fCoDIT.2019.8820603&partnerID=40&md5=09b23d63ad01f03c3b7e5a6d6065ce50},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={Waste management is one of the major concerns of our times. This paper investigates the main issues in waste management, the classical practices and their limitations, and highlights the recent trends in the field to identify the foremost research areas whose advancement will lead to the achievement of smart waste management systems. © 2019 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Cavone, G., Blenkers, L., Van Den Boom, T., Dotoli, M., Seatzu, C. & De Schutter, B. (2019) Railway disruption: A bi-level rescheduling algorithm IN 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019., 54-59.
    [Bibtex]
    @CONFERENCE{Cavone201954,
    author={Cavone, G. and Blenkers, L. and Van Den Boom, T. and Dotoli, M. and Seatzu, C. and De Schutter, B.},
    title={Railway disruption: A bi-level rescheduling algorithm},
    journal={2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019},
    year={2019},
    pages={54-59},
    doi={10.1109/CoDIT.2019.8820380},
    art_number={8820380},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072825857&doi=10.1109%2fCoDIT.2019.8820380&partnerID=40&md5=1402c9b7c47196a37e50ebaba061fdef},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Delft Center for Systems and Control, Technology University of Delft, Delft, Netherlands; Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy},
    abstract={The real-time rescheduling of railway traffic in case of unexpected events is a challenging task. This is mainly due to the complexity of the railway service, which has to ensure safety, punctuality, and efficiency to customers by respecting timetable, framework, and resources constraints. Most of the available researches focus on short delays (i.e., disturbances). Approaches typically rely on simplified macroscopic models for large-scale systems or detailed microscopic models for one or a few lines, due to the long computation time required for solving the rescheduling problem. Only a small number of works consider rescheduling in case of long delays (i.e., disruptions) and all of them are also based on either a macroscopic or a microscopic model. This research focuses on disruptions and aims at filling the gap between macroscopic and microscopic modelling by proposing an innovative bi-level rescheduling algorithm based on a mesoscopic Mixed Integer Linear Programming (MILP) model. The technique allows obtaining a feasible rescheduled timetable in a short computation time respecting not only timetable and safety constraints (typical of macroscopic models) but also capacity and ordering constraints for the disrupted stations (typical of microscopic models). The bi-level algorithm first solves the macroscopic MILP rescheduling problem and then, considering the cancellation and non-admissible platform assignments results, it solves a mesoscopic MILP rescheduling problem. This allows to significantly reduce the search space and consequently the computation time. The method is tested for the rescheduling of the Dutch railway traffic in case of a full blockade between two consecutive stations. © 2019 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2019) Distributed Control for Waterfilling of Networked Control Systems with Coupling Constraints IN Proceedings of the IEEE Conference on Decision and Control., 3710-3715.
    [Bibtex]
    @CONFERENCE{Carli20193710,
    author={Carli, R. and Dotoli, M.},
    title={Distributed Control for Waterfilling of Networked Control Systems with Coupling Constraints},
    journal={Proceedings of the IEEE Conference on Decision and Control},
    year={2019},
    volume={2018-December},
    pages={3710-3715},
    doi={10.1109/CDC.2018.8619425},
    art_number={8619425},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062189943&doi=10.1109%2fCDC.2018.8619425&partnerID=40&md5=3dfd050026baf187539419a0a975db57},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={In this paper we present a distributed control approach for the multi-user multi-constrained waterfilling. This a specific category of distributed optimization for Networked Control Systems (NCSs), where agents aim at optimizing a non-separable global objective function while satisfying both local constraints and coupling constraints. Differently from the existing literature, in the considered setting we adopt a fully distributed mechanism where communication is allowed between neighbors only. First, we formulate a general multi-user waterfilling-structured optimization problem including coupling constraints, which may represent many engineering distributed control problems. Successively, we define a low-complexity iterative distributed algorithm based on duality, consensus and fixed point mapping theory. Finally, applying the technique to a simulated case referring to the electric vehicles optimal charging problem, we show its effectiveness. © 2018 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Hosseini, S. M., Carli, R. & Dotoli, M. (2019) Model Predictive Control for Real-Time Residential Energy Scheduling under Uncertainties IN Proceedings – 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018., 1386-1391.
    [Bibtex]
    @CONFERENCE{Hosseini20191386,
    author={Hosseini, S.M. and Carli, R. and Dotoli, M.},
    title={Model Predictive Control for Real-Time Residential Energy Scheduling under Uncertainties},
    journal={Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018},
    year={2019},
    pages={1386-1391},
    doi={10.1109/SMC.2018.00242},
    art_number={8616238},
    note={cited By 28},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062230383&doi=10.1109%2fSMC.2018.00242&partnerID=40&md5=2f024e90b4a067ff3c318f9e0a035f00},
    affiliation={Dept. of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={This paper proposes a real-time strategy based on Model Predictive Control (MPC) for the energy scheduling of a grid-connected smart residential user equipped with deferrable and non-deferrable electrical appliances, a renewable energy source (RES), and an electrical energy storage system (EESS). The proposed control scheme relies on an iterative finite horizon on-line optimization, implementing a quadratic cost function to minimize the electricity bill of the user's load demand and to limit the peak-to-average ratio (PAR) of the energy consumption profile whilst considering operational constraints. At each time step, the optimization problem is solved providing the cost-optimal energy consumption profile for the user's deferrable loads and the optimal charging/discharging profile for the EESS, taking into account forecast uncertainties by using the most updated predicted values of local RES generation and non-deferrable loads consumption. The performance and effectiveness of the proposed framework are evaluated for a case study where the dynamics of the considered residential energy system is simulated under uncertainties both in the forecast of the RES generation and the non-deferrable loads energy consumption. © 2018 IEEE.},
    author_keywords={energy scheduling; model predictive control (MPC); residential energy management; uncertainties},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Othman, S. B., Hammadi, S., Zgaya, H., Renard, J. -M. & Dotoli, M. (2019) Dynamic schedule execution to improve adult emergency department performance in real-time IN 33rd Annual European Simulation and Modelling Conference 2019, ESM 2019., 272-278.
    [Bibtex]
    @CONFERENCE{Othman2019272,
    author={Othman, S.B. and Hammadi, S. and Zgaya, H. and Renard, J.-M. and Dotoli, M.},
    title={Dynamic schedule execution to improve adult emergency department performance in real-time},
    journal={33rd Annual European Simulation and Modelling Conference 2019, ESM 2019},
    year={2019},
    pages={272-278},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076226919&partnerID=40&md5=f1aa7d4632e0dfd85e1f406b8809d153},
    affiliation={Ecole Centrale de Lille, France; Université de Lille, Lille, France; Politecnico di Bari, Bari, Italy},
    abstract={An Emergency Department (ED) is a very complex system involving heterogeneous patients and several kinds of resources that evolve within a sophisticated process. The management methodology should be chosen in a more effective and targeted way so as to meet the increasing patients' requirements. Our objective is to find out fast solutions for unscheduled arrivals, dynamic competing priorities and heterogeneous patient care needs. The primary objective of this article is to provide ED managers with internal cost-effective solutions and perceptions in order to reduce overcrowding phenomenon impacts and enhance ED performance. Simulation results show that our scheduling method can significantly reduce the total response time of patients. Copyright © 2019 EUROSIS-ETI.},
    author_keywords={Emergency Department; Overcrowding; Response time; Scheduling},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Pellegrino, R. (2019) A multi-period approach for the optimal energy retrofit planning of street lighting systems. IN Applied Sciences (Switzerland), 9..
    [Bibtex]
    @ARTICLE{Carli2019,
    author={Carli, R. and Dotoli, M. and Pellegrino, R.},
    title={A multi-period approach for the optimal energy retrofit planning of street lighting systems},
    journal={Applied Sciences (Switzerland)},
    year={2019},
    volume={9},
    number={5},
    doi={10.3390/app9051025},
    art_number={1025},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063660288&doi=10.3390%2fapp9051025&partnerID=40&md5=80ca57851d94e4757320cee529983b5f},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70125, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, 70126, Italy},
    abstract={Investing in the optimal measures for improving the energy efficiency of urban street lighting systems has become strategic for the economic, technological and social development of cities. The decision-making process for the selection of the optimal set of interventions is not so straightforward. Several criticalities-such as difficulties getting access to credit for companies involved in street lighting systems refurbishment, budget constraints of municipalities, and unawareness of the actual energy and economic performance after a retrofitting intervention-require a decision-making approach that supports the city energy manager in selecting the optimal street lighting energy efficiency retrofitting solution while looking not only based on the available budget, but also based on the future savings in energy expenditures. In this context, the purpose of our research is to develop an effective decision-making model supporting the optimal multi-period planning of the street lighting energy efficiency retrofitting, which proves to be more effective and beneficial than the classical single-period approach and has never before been applied to the considered public lighting system context. The proposed methodology is applied to a real street lighting system in the city of Bari, Italy, showing the energy savings and financial benefit obtained through the proposed method. Numerical experiments are used to investigate and quantify the effects of using a multi-period planning approach instead of a single-period approach. © 2019 by the authors.},
    author_keywords={Energy efficiency management; Multi-period planning; Optimization; Street lighting},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fay, A., Miśkowicz, M. & Seatzu, C. (2019) An overview of current technologies and emerging trends in factory automation. IN International Journal of Production Research, 57.5047-5067.
    [Bibtex]
    @ARTICLE{Dotoli20195047,
    author={Dotoli, M. and Fay, A. and Miśkowicz, M. and Seatzu, C.},
    title={An overview of current technologies and emerging trends in factory automation},
    journal={International Journal of Production Research},
    year={2019},
    volume={57},
    number={15-16},
    pages={5047-5067},
    doi={10.1080/00207543.2018.1510558},
    note={cited By 32},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052118672&doi=10.1080%2f00207543.2018.1510558&partnerID=40&md5=ea5b29c60f57c7cfeb39ace72401c504},
    affiliation={Department of Electrical Engineering and Information, Polytechnic of Bari, Bari, Italy; Institute of Automation Technology, Helmut-Schmidt-University Hamburg, Hamburg, Germany; Department of Measurement and Electronics, AGH University of Science and Technology, Kraków, Poland; Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy},
    abstract={In this paper we provide an overview of recent theoretical approaches and technologies that respond to the fundamental challenges of modern factory automation. We classify these major methods and technologies into several groups and, for seven of them - namely: vertical integration of factory automation systems; distributed and decentralised control, smart sensors and actuators in factories; networked control systems and wireless sensors and actuators; autonomy and self-organisation of factories; advanced sensing for factory automation; semantic models of factories; engineering methods of factory automation systems - we report recent research contributions and formulate open technical problems in the domain of modern factory automation. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.},
    author_keywords={advanced sensing; autonomous systems; decentralised control; distributed control; engineering methods; factory automation; manufacturing systems; networked control systems; self-organisation; semantic models; smart sensors and actuators; vertical integration; wireless sensor networks},
    document_type={Review},
    source={Scopus},
    }

2018

  • [DOI] Cavone, G., Dotoli, M., Epicoco, N., Morelli, D. & Seatzu, C. (2018) A Game-theoretical Design Technique for Multi-stage Supply Chains under Uncertainty IN IEEE International Conference on Automation Science and Engineering., 528-533.
    [Bibtex]
    @CONFERENCE{Cavone2018528,
    author={Cavone, G. and Dotoli, M. and Epicoco, N. and Morelli, D. and Seatzu, C.},
    title={A Game-theoretical Design Technique for Multi-stage Supply Chains under Uncertainty},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2018},
    volume={2018-August},
    pages={528-533},
    doi={10.1109/COASE.2018.8560501},
    art_number={8560501},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059976158&doi=10.1109%2fCOASE.2018.8560501&partnerID=40&md5=029376a062b0c55a7cccfc170988ada1},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Bari, Italy; Department of Electrical and Electronic Engineering, University of Cagliari, Caglinri, Italy},
    abstract={We present a design approach for multi-stage Supply Chains (SCs) that allows selecting candidates and assigning them orders under uncertainty. A bargaining game model in its extensive form (i.e., with a time sequencing of moves) and in a fuzzy setting is proposed. The product quantities that each actor requires from the previous SC stage are determined modelling the real behavior of SC stakeholders, which on the one hand act to maximize their own profit, on the other hand cooperate to maximize the overall efficiency of the SC and minimize production costs and lead times. Assignments are determined taking into account stock levels, uncertain production or warehouse capacities, and customers' demand. Thus, the method supports the decision making process providing an agile, cooperative, and resource-efficient design of multi-stage SCs under uncertain parameters. A literature SC is used as a test case to evaluate the effectiveness of the technique. © 2018 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Pellegrino, R. (2018) Multi-criteria decision-making for sustainable metropolitan cities assessment. IN Journal of Environmental Management, 226.46-61.
    [Bibtex]
    @ARTICLE{Carli201846,
    author={Carli, R. and Dotoli, M. and Pellegrino, R.},
    title={Multi-criteria decision-making for sustainable metropolitan cities assessment},
    journal={Journal of Environmental Management},
    year={2018},
    volume={226},
    pages={46-61},
    doi={10.1016/j.jenvman.2018.07.075},
    note={cited By 48},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051362383&doi=10.1016%2fj.jenvman.2018.07.075&partnerID=40&md5=57606eb68995a362a44497e2b3089e36},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Dept. of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy},
    abstract={The recent development of metropolitan cities, especially in Europe, requires an effective integrated management of city services, infrastructure, and communication networks at a metropolitan level. A preliminary step towards a proper organizational and management strategy of the metropolitan city is the analysis, benchmarking and optimization of the metropolitan areas through a set of indicators coherent with the overall sustainability objective of the metropolitan city. This paper proposes the use of the Analytic Hierarchy Process multi-criteria decision making technique for application in the smart metropolitan city context, with the aim of analysing the sustainable development of energy, water and environmental systems, through a set of objective performance indicators. Specifically, the 35 indicators defined for the Sustainable Development of Energy, Water and Environment Systems Index framework are used. The application of the approach to the real case study of four metropolitan areas (Bari, Bitonto, Mola, and Molfetta) in the city of Bari (Italy) shows its usefulness for the local government in benchmarking metropolitan areas and providing decision indications on how to formulate the sustainable development strategy of the metropolitan city. Based on the Analytic Hierarchy Process characteristics, the results highlight that although one specific area (Mola in the considered case) is globally ranked at the first place, it is only ranked first with respect to some dimensions. Such a result has strong implications for the metropolitan city's manager who has the possibility to identify and implement targeted actions, which may be designed ad hoc to improve specific dimensions based on the current state of the city, thus maximizing the efficiency and effectiveness of the actions undertaken for the sustainable development of energy, water and environmental systems of the whole metropolitan city. © 2018 Elsevier Ltd},
    author_keywords={Analytic hierarchy process; Multi-criteria decision making; Performance evaluation; Planning; Sustainable development},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Epicoco, N. (2018) Cost-Optimal Energy Scheduling of a Smart Home under Uncertainty IN 2018 IEEE Conference on Control Technology and Applications, CCTA 2018., 1668-1673.
    [Bibtex]
    @CONFERENCE{Carli20181668,
    author={Carli, R. and Dotoli, M. and Epicoco, N.},
    title={Cost-Optimal Energy Scheduling of a Smart Home under Uncertainty},
    journal={2018 IEEE Conference on Control Technology and Applications, CCTA 2018},
    year={2018},
    pages={1668-1673},
    doi={10.1109/CCTA.2018.8511345},
    art_number={8511345},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056899368&doi=10.1109%2fCCTA.2018.8511345&partnerID=40&md5=df2f65f9300879823bcc53a5aada2f14},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={We present a novel energy scheduling approach under uncertain data for smart homes taking into account the presence of controllable electrical loads, renewable energy sources, dispatchable energy generators, and energy storage systems. The problem is stated as a fuzzy linear programming and is aimed at minimizing energy costs. The proposed approach allows managing the use of electrical devices, plan the energy production and supplying, and program the storage charging and discharging profiles under uncertain data. The method is validated through a literature case study showing its effectiveness in exploiting the potential of local energy generation and storage and in reducing the energy consumption costs, while limiting the peak average ratio of the energy profiles and complying with the user's energy needs. © 2018 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2018) A Decentralized Control Strategy for the Energy Management of Smart Homes with Renewable Energy Exchange IN 2018 IEEE Conference on Control Technology and Applications, CCTA 2018., 1662-1667.
    [Bibtex]
    @CONFERENCE{Carli20181662,
    author={Carli, R. and Dotoli, M.},
    title={A Decentralized Control Strategy for the Energy Management of Smart Homes with Renewable Energy Exchange},
    journal={2018 IEEE Conference on Control Technology and Applications, CCTA 2018},
    year={2018},
    pages={1662-1667},
    doi={10.1109/CCTA.2018.8511617},
    art_number={8511617},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056821403&doi=10.1109%2fCCTA.2018.8511617&partnerID=40&md5=85a9dde2ca8fa544e4b4a5901580188f},
    affiliation={Department of Electrical and Information, Engineering of the Polytechnic of Bari, Bari, 70125, Italy},
    abstract={This paper presents a decentralized control strategy for the scheduling of energy activities of interconnected smart homes that purchase energy from a supplier while exchanging renewable energy produced by individually owned distributed energy resources. The scheduling problem is solved with a twofold design objective. First, the model aims at reducing the overall energy supply from the grid, by allowing users to borrow/lend some amount of renewable energy from/to other users. Second, the problem is formulated to optimally plan users' controllable loads. We assume a time-varying quadratic pricing of the energy purchased from the distribution network. The proposed solution is based on a decentralized optimization algorithm combining parametric optimization with the proximal Jacobian Alternating Direction Method of Multipliers. The application of the proposed technique to a simulated case study under several scenarios shows its effectiveness. © 2018 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Pellegrino, R. (2018) A decision-making tool for energy efficiency optimization of street lighting. IN Computers and Operations Research, 96.223-235.
    [Bibtex]
    @ARTICLE{Carli2018223,
    author={Carli, R. and Dotoli, M. and Pellegrino, R.},
    title={A decision-making tool for energy efficiency optimization of street lighting},
    journal={Computers and Operations Research},
    year={2018},
    volume={96},
    pages={223-235},
    doi={10.1016/j.cor.2017.11.016},
    note={cited By 48},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044511260&doi=10.1016%2fj.cor.2017.11.016&partnerID=40&md5=f655fabb0054cefa3a05bcc0c63059f4},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy},
    abstract={This paper develops a multi-criteria decision making tool to support the public decision maker in optimizing energy retrofit interventions on existing public street lighting systems. The related literature analysis clearly highlights that, to date, only a few number of studies deal with the definition of optimal decision strategies complying with multiple and conflicting objectives in the planning of street lighting refurbishment. To fill this gap, we propose a decision making tool that allows deciding, in an integrated way, the optimal energy retrofit plan in order to simultaneously reduce energy consumption, maintain comfort, protect the environment, and optimize the distribution of actions in subsystems, while ensuring an efficient use of public funds. The presented tool is applied to a real street lighting system of a wide urban area in Bari, Italy. The obtained results highlight that the approach effectively supports the city energy manager in the refurbishment of the street lighting systems. © 2017 Elsevier Ltd},
    author_keywords={Energy efficiency management; Multi-criteria optimization; Public street lighting},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Cavone, G., Dotoli, M. & Seatzu, C. (2018) A Survey on Petri Net Models for Freight Logistics and Transportation Systems. IN IEEE Transactions on Intelligent Transportation Systems, 19.1795-1813.
    [Bibtex]
    @ARTICLE{Cavone20181795,
    author={Cavone, G. and Dotoli, M. and Seatzu, C.},
    title={A Survey on Petri Net Models for Freight Logistics and Transportation Systems},
    journal={IEEE Transactions on Intelligent Transportation Systems},
    year={2018},
    volume={19},
    number={6},
    pages={1795-1813},
    doi={10.1109/TITS.2017.2737788},
    note={cited By 35},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029185229&doi=10.1109%2fTITS.2017.2737788&partnerID=40&md5=b13acc8aca9a368189e296cec63c8a37},
    affiliation={Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy; Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70125, Italy},
    abstract={The benefits of logistics and transportation systems to citizens, economy, and society can strongly increase when considering a smart, safe, and environmentally friendly management. This results in the implementation of intelligent transportation systems that combine innovative technologies and transportation frameworks at the aim of finding proper solutions to the related decision problems. To achieve such a goal, the intrinsic discrete event dynamics of these systems should be considered when deriving a model to be used for simulation, analysis, optimization, and control. Among the different discrete event models, Petri Nets (PNs) are particularly effective due to a series of relevant features. In addition, several high-level PN models (e.g., colored, continuous, or hybrid) allow the solution of complex and large-dimension problems that typically arise from real-life applications in the area of freight logistics and transportation systems. This paper presents a survey on contributions in this area. Papers are classified according to the addressed problem, namely, strategic/tactical or operational decision-making-level problem, and the adopted PN formalism. We also debate the approaches' viability, discussing contributions and limitations, and identify future research directions to enhance the successful application of PNs in freight logistics and transportation systems. © 2000-2011 IEEE.},
    author_keywords={control; Freight transportation; management; modeling and simulation; optimization; Petri nets},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Guan, X., Zhao, Q., Jia, S. Q. -S. & Dotoli, M. (2018) Welcome message from general and program chairs IN IEEE International Conference on Automation Science and Engineering., 1-3.
    [Bibtex]
    @CONFERENCE{Guan20181,
    author={Guan, X. and Zhao, Q. and Jia, S.Q.-S. and Dotoli, M.},
    title={Welcome message from general and program chairs},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2018},
    volume={2017-August},
    pages={1-3},
    doi={10.1109/COASE.2017.8256063},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044941166&doi=10.1109%2fCOASE.2017.8256063&partnerID=40&md5=7944ac6ea24984f7a7a4e1f04ef0bd32},
    affiliation={Xi'An Jiaotong University, Xi'an, China; Tsinghua University, Beijing, China; Polytechnic of Bari, Bari, Italy},
    document_type={Editorial},
    source={Scopus},
    }
  • [DOI] Cavone, G., Dotoli, M., Epicoco, N. & Seatzu, C. (2018) Efficient Resource Planning of Intermodal Terminals under Uncertainty , 398-403.
    [Bibtex]
    @CONFERENCE{Cavone2018398,
    author={Cavone, G. and Dotoli, M. and Epicoco, N. and Seatzu, C.},
    title={Efficient Resource Planning of Intermodal Terminals under Uncertainty},
    year={2018},
    volume={51},
    number={9},
    pages={398-403},
    doi={10.1016/j.ifacol.2018.07.065},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050140566&doi=10.1016%2fj.ifacol.2018.07.065&partnerID=40&md5=edaa20f412201b8f7e7839c4fc246aad},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Cagliari, Italy},
    abstract={This paper presents a decision support tool for the efficient resource planning and management of intermodal terminals under uncertainty, allowing to address the planning issue under imprecise or uncertain data (e.g., estimates on flows, resource utilization, operating conditions). The procedure consists of three steps: 1) the definition of a Timed Petri Net model of the terminal; 2) the computation of suitable performance indices to evaluate whether the current configuration is able to cope with a foreseen increase in the freight flows; 3) in the case of not satisfactory values of the indices at the previous step, the simulation of alternative planning solutions and the detection of the most efficient one via a cross-efficiency fuzzy Data Envelopment Analysis technique. In order to test its effectiveness, the procedure is applied to a real case study. © 2018},
    author_keywords={Data Envelopment Analysis; efficiency; fuzzy theory; intermodal terminals; performance evaluation; Petri Nets; resource planning; uncertainty},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Cavone, G., Dotoli, M., Epicoco, N., Franceschelli, M. & Seatzu, C. (2018) Hybrid Petri Nets to Re-design Low-Automated Production Processes: the Case Study of a Sardinian Bakery , 265-270.
    [Bibtex]
    @CONFERENCE{Cavone2018265,
    author={Cavone, G. and Dotoli, M. and Epicoco, N. and Franceschelli, M. and Seatzu, C.},
    title={Hybrid Petri Nets to Re-design Low-Automated Production Processes: the Case Study of a Sardinian Bakery},
    year={2018},
    volume={51},
    number={7},
    pages={265-270},
    doi={10.1016/j.ifacol.2018.06.311},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050128384&doi=10.1016%2fj.ifacol.2018.06.311&partnerID=40&md5=832573ffac1f56c0f884bc55c52b23d1},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy; Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy},
    abstract={This paper shows the practical relevance of first-order hybrid Petri nets in the re-design process of low-automated production systems. In particular, we analyze the case study of a bakery producing “pane Carasau” a typical Sardinian bread, whose traditional production plant currently has difficulties in coping with the constant increase in market demand. Through first-order hybrid Petri nets, the current functioning and the operating features and dynamics of the case study are modelled, waste sources and bottlenecks are detected, and alternative re-designed scenarios are implemented and evaluated to identify the most suitable reengineering actions to be developed. © 2018},
    author_keywords={First-Order Hybrid Petri nets; Production processes; Re-design; Reengineering},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2018) A Distributed Control Algorithm for Optimal Charging of Electric Vehicle Fleets with Congestion Management , 373-378.
    [Bibtex]
    @CONFERENCE{Carli2018373,
    author={Carli, R. and Dotoli, M.},
    title={A Distributed Control Algorithm for Optimal Charging of Electric Vehicle Fleets with Congestion Management},
    year={2018},
    volume={51},
    number={9},
    pages={373-378},
    doi={10.1016/j.ifacol.2018.07.061},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050093123&doi=10.1016%2fj.ifacol.2018.07.061&partnerID=40&md5=87f63aa0bd1f3aa33b573169b8a48e32},
    affiliation={Dept. of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={This paper proposes a novel distributed control strategy for the optimal charging of a fleet of Electric Vehicles (EVs) in case of limited overall capacity of the electrical distribution network. The optimal charging is obtained as the solution of a scheduling problem aiming at a cost-optimal profile of the aggregated energy demand. The resulting optimization problem is formulated as a quadratic programming problem with a coupling of decision variables both in the objective function and in the constraint. We assume a minimal information structure, where users locally communicate only with their neighbors, without relying on a central decision maker. The solution approach relies on an iterative distributed algorithm based on duality, proximity, and consensus theory. A simulated case study demonstrates that the approach allows achieving the global optimum. © 2018},
    author_keywords={Decentralized; Distributed Control; Electric Vehicles; Large scale optimization problems; Scheduling algorithms},
    document_type={Conference Paper},
    source={Scopus},
    }

2017

  • [DOI] Cavone, G., Dotoli, M., Epicoco, N. & Seatzu, C. (2017) A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis. IN Applied Mathematical Modelling, 52.255-273.
    [Bibtex]
    @ARTICLE{Cavone2017255,
    author={Cavone, G. and Dotoli, M. and Epicoco, N. and Seatzu, C.},
    title={A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis},
    journal={Applied Mathematical Modelling},
    year={2017},
    volume={52},
    pages={255-273},
    doi={10.1016/j.apm.2017.07.030},
    note={cited By 23},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032351265&doi=10.1016%2fj.apm.2017.07.030&partnerID=40&md5=9878b46aea5aa585ef08d87ee28e4b38},
    affiliation={Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy; Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={This paper presents a self-learning decision making procedure for robust real-time train rescheduling in case of disturbances. The procedure is applicable to aperiodic timetables of mixed-tracked networks and it consists of three steps. The first two are executed in real-time and provide the rescheduled timetable, while the third one is executed offline and guarantees the self-learning part of the method. In particular, in the first step, a robust timetable is determined, which is valid for a finite time horizon. This robust timetable is obtained solving a mixed integer linear programming problem aimed at finding the optimal compromise between two objectives: the minimization of the delays of the trains and the maximization of the robustness of the timetable. In the second step, a merging procedure is first used to join the obtained timetable with the nominal one. Then, a heuristics is applied to identify and solve all conflicts eventually arising after the merging procedure. Finally, in the third step an offline cross-efficiency fuzzy Data Envelopment Analysis technique is applied to evaluate the efficiency of the rescheduled timetable in terms of delays minimization and robustness maximization when different relevance weights (defining the compromise between the two optimization objectives) are used in the first step. The procedure is thus able to determine appropriate relevance weights to employ when disturbances of the same type affect again the network. The railway service provider can take advantage of this procedure to automate, optimize, and expedite the rescheduling process. Moreover, thanks to the self-learning capability of the procedure, the quality of the rescheduling is improved at each reapplication of the method. The technique is applied to a real data set related to a regional railway network in Southern Italy to test its effectiveness. © 2017 Elsevier Inc.},
    author_keywords={Data Envelopment Analysis; Decision making; Railways; Real-time; Rescheduling; Robustness},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Cavone, G., Dotoli, M., Epicoco, N. & Seatzu, C. (2017) Intermodal terminal planning by Petri Nets and Data Envelopment Analysis. IN Control Engineering Practice, 69.9-22.
    [Bibtex]
    @ARTICLE{Cavone20179,
    author={Cavone, G. and Dotoli, M. and Epicoco, N. and Seatzu, C.},
    title={Intermodal terminal planning by Petri Nets and Data Envelopment Analysis},
    journal={Control Engineering Practice},
    year={2017},
    volume={69},
    pages={9-22},
    doi={10.1016/j.conengprac.2017.08.007},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028873437&doi=10.1016%2fj.conengprac.2017.08.007&partnerID=40&md5=f1dac97345f97f58a4fee381c92037d4},
    affiliation={Department of Electrical and Electronic Engineering, Università degli Studi di Cagliari, Via Marengo, Cagliari, Italy; Department of Electrical and Information Engineering, Politecnico di Bari, Via Re David 200, Bari, 70125, Italy},
    abstract={A procedure for planning and resources’ management in intermodal terminals is presented. It integrates Timed Petri Nets (TPNs) and Data Envelopment Analysis (DEA) and consists of three steps: the terminal modeling via TPNs to model the regular behavior; the evaluation of whether the current configuration may cope with increased freight flows; if not, the analysis by cross-efficiency DEA of alternative planning solutions. The procedure provides the decision maker with number, capacity, and schedule of resources to tackle the flows increase. The method is evaluated by a real case study, showing that integrating TPNs and DEA allows taking planning decisions under conflicting requirements. © 2017},
    author_keywords={Data Envelopment Analysis; Freight transportation; Intermodal terminals; Performance evaluation; Petri Nets; Resource planning},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2017) A decentralized control strategy for optimal charging of electric vehicle fleets with congestion management IN Proceedings – 2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017., 63-67.
    [Bibtex]
    @CONFERENCE{Carli201763,
    author={Carli, R. and Dotoli, M.},
    title={A decentralized control strategy for optimal charging of electric vehicle fleets with congestion management},
    journal={Proceedings - 2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017},
    year={2017},
    volume={2017-January},
    pages={63-67},
    doi={10.1109/SOLI.2017.8120971},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046260212&doi=10.1109%2fSOLI.2017.8120971&partnerID=40&md5=2ced08ace41770b457c6f07d8cbe98b5},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper proposes a novel decentralized control strategy for the optimal charging of a large-scale fleet of Electric Vehicles (EVs). The scheduling problem aims at ensuring a cost-optimal profile of the aggregated energy demand and at satisfying the resource constraints depending both on power grid components capacity and EV locations in the distribution network. The resulting optimization problem is formulated as a quadratic programming problem with a coupling of decision variables both in the objective function and in the inequality constraints. The solution approach relies on a decentralized optimization algorithm that is based on a variant of ADMM (Alternating Direction Method of Multipliers), adapted to take into account the inequality constraints and the non-separated objective function. A simulated case study demonstrates that the approach allows achieving both the overall fleet and individual EV goals, while complying with the power grid congestion limits. © 2017 IEEE.},
    author_keywords={Alternating direction method of multipliers; Congestion management; Coupled objective function; Decentralized optimization; Electric vehicle charging; Sharing},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2017) A distributed control algorithm for waterfilling of networked control systems via consensus. IN IEEE Control Systems Letters, 1.334-339.
    [Bibtex]
    @ARTICLE{Carli2017334,
    author={Carli, R. and Dotoli, M.},
    title={A distributed control algorithm for waterfilling of networked control systems via consensus},
    journal={IEEE Control Systems Letters},
    year={2017},
    volume={1},
    number={2},
    pages={334-339},
    doi={10.1109/LCSYS.2017.2716190},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050079250&doi=10.1109%2fLCSYS.2017.2716190&partnerID=40&md5=595d4be8879ccf3a42f0de75793d9038},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={This letter presents a distributed waterfilling algorithm for networked control systems where users communicate with neighbors only. Waterfilling—a well-known optimization approach in communication systems—has inspired practical resolution methods for several control engineering and decision-making problems. This letter proposes a fully distributed solution for waterfilling of networked control systems. We consider multiple coupled waterlevels among users that locally communicate only with neighbors, without a central decision maker. We define two alternative versions (an exact one and an approximated one) of a novel distributed algorithm combining consensus, proximity, and the fixed point mapping theory, and show its convergence. We illustrate the technique by a case study on the charging of a fleet of electric vehicles. © 2017 IEEE.},
    author_keywords={Distributed control; Networked control systems; Optimization},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Zgaya, H., Russo, C. & Hammadi, S. (2017) A Multi-Agent Advanced Traveler Information System for Optimal Trip Planning in a Co-Modal Framework. IN IEEE Transactions on Intelligent Transportation Systems, 18.2397-2412.
    [Bibtex]
    @ARTICLE{Dotoli20172397,
    author={Dotoli, M. and Zgaya, H. and Russo, C. and Hammadi, S.},
    title={A Multi-Agent Advanced Traveler Information System for Optimal Trip Planning in a Co-Modal Framework},
    journal={IEEE Transactions on Intelligent Transportation Systems},
    year={2017},
    volume={18},
    number={9},
    pages={2397-2412},
    doi={10.1109/TITS.2016.2645278},
    art_number={7829278},
    note={cited By 19},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010672602&doi=10.1109%2fTITS.2016.2645278&partnerID=40&md5=b70a67bc023c289ae5cecf8b537ae41f},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70125, Italy; ILIS-Lille Institute of Healthcare Engineering, Université de Lille 2, Lille, 59000, France; Magneti Marelli-Powertrain Research, Torino, 10135, Italy; CRISTAL-Research Centre in Computer Science, Signals and Automatic Systems of Lille, École Centrale de Lille, Lille, 59651, France},
    abstract={We present an advanced traveler information system (ATIS) for public and private transportation, including vehicle sharing and pooling services. The ATIS uses an agent-based architecture and multi-objective optimization to answer trip planning requests from multiple users in a co-modal setting, considering vehicle preferences and conflicting criteria. At each set of users' requests, the transportation network is represented by a co-modal graph that allows decomposing the trip planning problem into smaller tasks: the shortest routes between the network nodes are determined and then combined to obtain possible itineraries. Using multi-objective optimization, the set of user-vehicle-route combinations according to the users' preferences is determined, ranking all possible route agents' coalitions. The ATIS is tested for the real case study of the Lille metropolitan area (Nord Pas de Calais, France). © 2000-2011 IEEE.},
    author_keywords={Advanced traveler information system; co-modal transport; directed graphs; multi-agent systems; optimization; private transport; public transport; trip planning},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2017) Bi-level programming for the energy retrofit planning of street lighting systems IN Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017., 543-548.
    [Bibtex]
    @CONFERENCE{Carli2017543,
    author={Carli, R. and Dotoli, M.},
    title={Bi-level programming for the energy retrofit planning of street lighting systems},
    journal={Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017},
    year={2017},
    pages={543-548},
    doi={10.1109/ICNSC.2017.8000150},
    art_number={8000150},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028509849&doi=10.1109%2fICNSC.2017.8000150&partnerID=40&md5=7aa2cad3d9d4ab8f45ecac5cd40a808f},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper addresses strategic decision making issues for the energy management of urban street lighting. We propose a hierarchical decision procedure that supports the energy manager in determining the optimal energy retrofit plan of an existing public street lighting system throughout a wide urban area. A bi-level programming model integrates several decision making units, each focusing on the energy optimization of a specific limited zone lighting system, and a central decision unit, aiming at a fair distribution of actions among these various systems, while ensuring an efficient use of public funds. We apply the technique to the case study of the city of Bari (Italy), to demonstrate the applicability and efficiency of the proposed optimization model. © 2017 IEEE.},
    author_keywords={Bilevel programming; Decision support system; Energy efficiency; Energy management; Hierarchical optimization; Street lighting},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2017) A decentralized control strategy for energy retrofit planning of large-scale street lighting systems using dynamic programming IN IEEE International Conference on Automation Science and Engineering., 1196-1200.
    [Bibtex]
    @CONFERENCE{Carli20171196,
    author={Carli, R. and Dotoli, M.},
    title={A decentralized control strategy for energy retrofit planning of large-scale street lighting systems using dynamic programming},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2017},
    volume={2017-August},
    pages={1196-1200},
    doi={10.1109/COASE.2017.8256266},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044970276&doi=10.1109%2fCOASE.2017.8256266&partnerID=40&md5=7f8ba32dffa1946d990b4fa9bdfa7a59},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={This paper addresses the energy management of large-scale urban street lighting systems. We propose a multi-stage decision-making procedure that supports the energy manager in determining the optimal energy retrofit plan of an existing public street lighting system. The problem statement is based on a quadratic integer programming formulation and aims at simultaneously reducing the energy consumption, ensuring an optimal allocation of the retrofit actions, and efficiently using the available budget. The proposed solution relies on a decentralized optimization algorithm that is based on discrete dynamic programming. The methodology is applied to a real street lighting system in the city of Bari, Italy. © 2017 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2017) Using the distributed proximal alternating direction method of multipliers for smart grid monitoring IN IEEE International Conference on Automation Science and Engineering., 418-423.
    [Bibtex]
    @CONFERENCE{Carli2017418,
    author={Carli, R. and Dotoli, M.},
    title={Using the distributed proximal alternating direction method of multipliers for smart grid monitoring},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2017},
    volume={2017-August},
    pages={418-423},
    doi={10.1109/COASE.2017.8256140},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044966539&doi=10.1109%2fCOASE.2017.8256140&partnerID=40&md5=dbecf71fd06d5b7c380c0ef1f2547de4},
    affiliation={Dept. of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={Efficient and effective monitoring represents the starting point for a reliable and secure smart grid. Given the increasing size and complexity of power networks and the pressing concerns on privacy and robustness, the development of intelligent and flexible distributed monitoring systems represents a crucial issue in both structuring and operating future grids. In this context, this paper presents a distributed optimization framework for use in smart grid monitoring. We propose a distributed algorithm based on ADMM (Alternating Direction Method of Multipliers) for use in large scale optimization problems in smart grid monitoring. The proposed solution is based upon a local-based optimization process, where a limited amount of information is exchanged only between neighboring nodes in a locally broadcast fashion. Applying the approach to two illustrating examples demonstrates it allows exploiting the scalability and efficiency of distributed ADMM for distributed smart grid monitoring. © 2017 IEEE.},
    author_keywords={ADMM; distributed optimization; monitoring; sensors network; smart grid},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Cianci, E. (2017) An optimization tool for energy efficiency of street lighting systems in smart cities IN IFAC-PapersOnLine., 14460-14464.
    [Bibtex]
    @CONFERENCE{Carli201714460,
    author={Carli, R. and Dotoli, M. and Cianci, E.},
    title={An optimization tool for energy efficiency of street lighting systems in smart cities},
    journal={IFAC-PapersOnLine},
    year={2017},
    volume={50},
    number={1},
    pages={14460-14464},
    doi={10.1016/j.ifacol.2017.08.2292},
    note={cited By 29},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042493832&doi=10.1016%2fj.ifacol.2017.08.2292&partnerID=40&md5=b1ee03a53ee4a57450cc0e590002a9e6},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper develops a decision making tool to support the public decision maker in selecting the optimal energy retrofit interventions on an existing street lighting system. The problem statement is based on a quadratic integer programming formulation and deals with simultaneously reducing the energy consumption and ensuring an optimal allocation of the retrofit actions among the street lighting subsystems. The methodology is applied to a real street lighting system in Bari, Italy. The obtained results demonstrate that the approach effectively supports the city governance in making decisions for the optimal energy management of the street lighting. © 2017},
    author_keywords={Decision Making; Distribution Management Systems; Energy; Optimization; Smart Cities; Street Lighting},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Epicoco, N. (2017) A Vehicle Routing Technique for Hazardous Waste Collection IN IFAC-PapersOnLine., 9694-9699.
    [Bibtex]
    @CONFERENCE{Dotoli20179694,
    author={Dotoli, M. and Epicoco, N.},
    title={A Vehicle Routing Technique for Hazardous Waste Collection},
    journal={IFAC-PapersOnLine},
    year={2017},
    volume={50},
    number={1},
    pages={9694-9699},
    doi={10.1016/j.ifacol.2017.08.2051},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031805728&doi=10.1016%2fj.ifacol.2017.08.2051&partnerID=40&md5=da5f048c9dfb57aff3692a450f9360b2},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Bari, Italy},
    abstract={Nowadays there is a growing interest in properly managing and collecting waste. Due to major threats on human health and environmental impact, hazardous waste management requires even much more attention. Nonetheless, in the literature there is a lack of techniques specifically devoted to the optimization of such a critical activity, which is characterized by more stringent constraints with respect to the typical municipal solid waste management. To fill this gap, we present a technique to solve the vehicle routing and scheduling problem for hazardous waste collection and disposal. The proposed method allows limiting the distance traveled by road (and therefore operating costs and emissions), enabling to match requests while respecting service time windows and vehicles’ availability. The technique also allows performing what-if analyses to evaluate the benefits arising from future investments in the fleet. The effectiveness of the method is shown by a real case study. © 2017},
    author_keywords={Hazardous Waste; Optimization; Scheduling; Vehicle Routing},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2017) Cooperative Distributed Control for the Energy Scheduling of Smart Homes with Shared Energy Storage and Renewable Energy Source IN IFAC-PapersOnLine., 8867-8872.
    [Bibtex]
    @CONFERENCE{Carli20178867,
    author={Carli, R. and Dotoli, M.},
    title={Cooperative Distributed Control for the Energy Scheduling of Smart Homes with Shared Energy Storage and Renewable Energy Source},
    journal={IFAC-PapersOnLine},
    year={2017},
    volume={50},
    number={1},
    pages={8867-8872},
    doi={10.1016/j.ifacol.2017.08.1544},
    note={cited By 28},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031787804&doi=10.1016%2fj.ifacol.2017.08.1544&partnerID=40&md5=9d6a82e7d9f16756a8d263254e537f45},
    affiliation={Dept. of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={This paper presents a distributed control technique for the energy scheduling of a group of interconnected smart city residential users. The proposed model aims at a simultaneous cost-optimal planning of users’ controllable appliances and of the shared storage system charge/discharge and renewable energy source. The distributed control algorithm is based on an iterative procedure combining parametric optimization with the block coordinate descent method. A realistic case study simulated in different scenarios demonstrates that the approach allows fully exploiting the potential of storage systems sharing to reduce individual users’ energy consumption costs and limit the peak average ratio of the energy profiles. © 2017},
    author_keywords={Decentralized; Distributed Control; Distribution Management Systems; Energy; Energy Storage Operation; Large scale optimization problems; Planning; Smart Grids},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M., Pellegrino, R. & Ranieri, L. (2017) A Decision Making Technique to Optimize a Buildings’ Stock Energy Efficiency. IN IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47.794-807.
    [Bibtex]
    @ARTICLE{Carli2017794,
    author={Carli, R. and Dotoli, M. and Pellegrino, R. and Ranieri, L.},
    title={A Decision Making Technique to Optimize a Buildings' Stock Energy Efficiency},
    journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
    year={2017},
    volume={47},
    number={5},
    pages={794-807},
    doi={10.1109/TSMC.2016.2521836},
    art_number={7407645},
    note={cited By 45},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018489196&doi=10.1109%2fTSMC.2016.2521836&partnerID=40&md5=db70236a891233a4576656e616023e08},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70125, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, 70125, Italy; Department of Engineering and Innovation, University of Salento, Lecce, 73100, Italy},
    abstract={This paper focuses on applying multicriteria decision making tools to determine an optimal energy retrofit plan for a portfolio of buildings. We present a two-step decision making technique employing a multiobjective optimization algorithm followed by a multiattribute ranking procedure. The method aims at deciding, in an integrated way, the optimal energy retrofit plan for a whole stock of buildings, optimizing efficiency, sustainability, and comfort, while effectively allocating the available financial resources to the buildings. The proposed methodology is applied to a real stock of public buildings in Bari, Italy. The obtained results demonstrate that the approach effectively supports the city governance in making decisions for the optimal management of the buildings' energy efficiency. © 2016 IEEE.},
    author_keywords={Building management; energy efficiency; multiattribute analysis; multicriteria decision making; multiobjective optimization (MOO); optimization algorithms},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N. & Falagario, M. (2017) A fuzzy technique for supply chain network design with quantity discounts. IN International Journal of Production Research, 55.1862-1884.
    [Bibtex]
    @ARTICLE{Dotoli20171862,
    author={Dotoli, M. and Epicoco, N. and Falagario, M.},
    title={A fuzzy technique for supply chain network design with quantity discounts},
    journal={International Journal of Production Research},
    year={2017},
    volume={55},
    number={7},
    pages={1862-1884},
    doi={10.1080/00207543.2016.1178408},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973872727&doi=10.1080%2f00207543.2016.1178408&partnerID=40&md5=cacc19478807834d6d9ab862bcee9b26},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Department of Mathematics, Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper proposes a hierarchical technique for Supply Chain Network (SCN) efficiency maximisation under uncertainty composed of three steps. The first step extends a previous fuzzy cross-efficiency Data Envelopment Analysis approach, originally intended for suppliers’ selection, in order to evaluate and rank all the actors in each SCN stage under conflicting nondeterministic criteria. Afterwards, a fuzzy linear integer programming model is stated and solved for each pair of subsequent SCN stages to determine the quantities required from each stakeholder to maximise the overall SCN efficiency while satisfying the estimated demand and respecting the nodes capacity. Finally, a heuristics is applied to limit the exchange of small quantities in the SCN, in which the trade is not economically convenient according to quantity discounts. An illustrative example from the literature shows the technique effectiveness. © 2016 Informa UK Limited, trading as Taylor & Francis Group.},
    author_keywords={cross-efficiency; data envelopment analysis; discount policy; fuzzy logic; optimisation; supply chain network design; uncertainty},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Pellegrino, R. (2017) A Hierarchical Decision-Making Strategy for the Energy Management of Smart Cities. IN IEEE Transactions on Automation Science and Engineering, 14.505-523.
    [Bibtex]
    @ARTICLE{Carli2017505,
    author={Carli, R. and Dotoli, M. and Pellegrino, R.},
    title={A Hierarchical Decision-Making Strategy for the Energy Management of Smart Cities},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2017},
    volume={14},
    number={2},
    pages={505-523},
    doi={10.1109/TASE.2016.2593101},
    note={cited By 48},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027724511&doi=10.1109%2fTASE.2016.2593101&partnerID=40&md5=b6d44e7085576476833b789dae66c70a},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70125, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, 70125, Italy},
    abstract={This paper presents a hierarchical decision-making strategy for the energy management of a smart city. The proposed decision process supports the city energy manager and local policy makers in taking energy retrofit decisions on different urban sectors by an integrated, structured, and transparent management. To this aim, in the proposed decision strategy, a bilevel programming model integrates several local decision-making units, each focusing on the energy retrofit optimization of a specific urban subsystem, and a central decision unit. We solve the hierarchical decision problem by a game theoretic distributed algorithm. We apply the developed decision model to the case study of the city of Bari (Italy), where a smart city program has recently been launched. © 2015 IEEE.},
    author_keywords={Bilevel programming; energy efficiency; energy management; game theory; hierarchical decision making; optimization; smart city},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Grammatico, S. & Ciulli, N. (2017) Guest Editorial Special Issue on Automation and Optimization for Energy Systems. IN IEEE Transactions on Automation Science and Engineering, 14.410-413.
    [Bibtex]
    @ARTICLE{Dotoli2017410,
    author={Dotoli, M. and Grammatico, S. and Ciulli, N.},
    title={Guest Editorial Special Issue on Automation and Optimization for Energy Systems},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2017},
    volume={14},
    number={2},
    pages={410-413},
    doi={10.1109/TASE.2017.2670758},
    art_number={7870619},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014814197&doi=10.1109%2fTASE.2017.2670758&partnerID=40&md5=553e7762a73691b7675d0cc34dfa8620},
    affiliation={Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, Bari, 70125, Italy; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, 5612 AJ, Netherlands; Nextworks, Pisa, 57014, Italy},
    document_type={Editorial},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fay, A., Miśkowicz, M. & Seatzu, C. (2017) Advanced control in factory automation: a survey. IN International Journal of Production Research, 55.1243-1259.
    [Bibtex]
    @ARTICLE{Dotoli20171243,
    author={Dotoli, M. and Fay, A. and Miśkowicz, M. and Seatzu, C.},
    title={Advanced control in factory automation: a survey},
    journal={International Journal of Production Research},
    year={2017},
    volume={55},
    number={5},
    pages={1243-1259},
    doi={10.1080/00207543.2016.1173259},
    note={cited By 20},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963805196&doi=10.1080%2f00207543.2016.1173259&partnerID=40&md5=ea6c662282f1e090c503fff3e31d8e63},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Institute of Automation Technology, Helmut-Schmidt-University Hamburg, Hamburg, Germany; Department of Electronics, AGH University of Science and Technology, Kraków, Poland; Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy},
    abstract={This paper provides a survey of the main advanced control techniques currently adopted in factory automation. In particular, it focuses on five classes of control approaches, namely: model-based control, control based on computational intelligence, adaptive control, discrete event systems-based control and finally event-triggered and self-triggered control. A particular focus is put on the most significant and recent contributions in these areas with attention to their application in the factory automation domain. Finally, open issues, challenges and the requirements of further research efforts for each class are pointed out. © 2016 Informa UK Limited, trading as Taylor & Francis Group.},
    author_keywords={adaptive control; advanced control; control based on computational intelligence; discrete event systems control; event-triggered control; factory automation; model predictive control; model-based control},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Seatzu, C. & Turchiano, B. (2017) A decision support system for optimizing operations at intermodal railroad terminals. IN IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47.487-501.
    [Bibtex]
    @ARTICLE{Dotoli2017487,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Seatzu, C. and Turchiano, B.},
    title={A decision support system for optimizing operations at intermodal railroad terminals},
    journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
    year={2017},
    volume={47},
    number={3},
    pages={487-501},
    doi={10.1109/TSMC.2015.2506540},
    art_number={7370812},
    note={cited By 23},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014711488&doi=10.1109%2fTSMC.2015.2506540&partnerID=40&md5=4dd2a6b2fba28746527bea33ec3dd762},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy; Department of Mathematics, Mechanics and Management Engineering, Polytechnic of Bari, Bari, 70125, Italy; Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy},
    abstract={In this paper, we present a decision support tool to optimize two of the most critical activities in intermodal railroad container terminals, in an iterative and integrated framework devoted to the terminal profit improvement. First, the model allows optimizing the freight trains composition, maximizing the company profit, while respecting physical and economic constraints, and placing in the train head/tail containers prosecuting to subsequent destinations. Hence, based on the resulting train composition, the decision support system allows optimizing the containers allocation in the terminal storage yard, in order to maximize the filling level while respecting physical constraints. The model is successfully tested on a real case study, the inland railroad terminal of a leading Italian intermodal logistics company. © 2013 IEEE.},
    author_keywords={Decision support system (DSS); intermodal freight transport; optimization; railroad terminal; train composition; yard container storage},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M., Garramone, R., Andria, G. & Lanzolla, A. M. L. (2017) An average consensus approach for the optimal allocation of a shared renewable energy source IN 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 – Conference Proceedings., 270-275.
    [Bibtex]
    @CONFERENCE{Carli2017270,
    author={Carli, R. and Dotoli, M. and Garramone, R. and Andria, G. and Lanzolla, A.M.L.},
    title={An average consensus approach for the optimal allocation of a shared renewable energy source},
    journal={2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings},
    year={2017},
    pages={270-275},
    doi={10.1109/SMC.2016.7844253},
    art_number={7844253},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015803915&doi=10.1109%2fSMC.2016.7844253&partnerID=40&md5=8769614afb1c81c7bc718b4190b95117},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper investigates the problem of optimally distributing the energy produced by a shared renewable energy source among users, without relying on a centralized decision maker. We assume that each user is only allowed to communicate with his neighbors and buys energy from a producer under non-linear pricing. We formulate a quadratic programming problem aimed at ensuring a social welfare-optimal allocation of the shared resource. We propose a low-complexity distributed algorithm that relies on average consensus. We show the convergence of the proposed algorithm to the unique optimal solution of the resource allocation problem. We also provide numerical simulations demonstrating that the approach allows exploiting the potential of renewable energy sources' sharing to reduce users' energy consumption costs. © 2016 IEEE.},
    author_keywords={Average consensus; Distributed optimization; Energy management; Multi-period resource allocation; Renewable energy sources},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Epicoco, N. (2017) A technique for the optimal management of containers’ drayage at intermodal terminals IN 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 – Conference Proceedings., 566-571.
    [Bibtex]
    @CONFERENCE{Dotoli2017566,
    author={Dotoli, M. and Epicoco, N.},
    title={A technique for the optimal management of containers' drayage at intermodal terminals},
    journal={2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings},
    year={2017},
    pages={566-571},
    doi={10.1109/SMC.2016.7844300},
    art_number={7844300},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015742748&doi=10.1109%2fSMC.2016.7844300&partnerID=40&md5=b4e0e9ba544f88a650a674ec969427ea},
    affiliation={Polytechnic of Bari, Department of Electrical and Information Engineering, Bari, Italy},
    abstract={This paper focuses on optimizing one of the most critical activities in door-to-door intermodal transportation, i.e., the containers' drayage by road. We present a technique to solve in an exact and optimal way the pick-up and delivery problem under the typical assumptions of intermodal transportation: full truck load, split delivery, clustered backhauls, and time windows. The method allows limiting the distance traveled by road, enabling to match a delivery with a pick-up request, while respecting customers' service time windows, vehicles availability, and rental needs. Thus, intermodal companies can manage vehicle routing and scheduling problems in an integrated way. The technique effectiveness is shown by a real case study. © 2016 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Ben Othman, S., Zgaya, H., Dotoli, M. & Hammadi, S. (2017) An agent-based Decision Support System for resources’ scheduling in Emergency Supply Chains. IN Control Engineering Practice, 59.27-43.
    [Bibtex]
    @ARTICLE{BenOthman201727,
    author={Ben Othman, S. and Zgaya, H. and Dotoli, M. and Hammadi, S.},
    title={An agent-based Decision Support System for resources' scheduling in Emergency Supply Chains},
    journal={Control Engineering Practice},
    year={2017},
    volume={59},
    pages={27-43},
    doi={10.1016/j.conengprac.2016.11.014},
    note={cited By 30},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999780416&doi=10.1016%2fj.conengprac.2016.11.014&partnerID=40&md5=80bf4e8f6db808a74e12a1d923d84124},
    affiliation={CRISTAL, Research Centre in Computer Science, Signals and Automatic Systems of Lille, Ecole Centrale de Lille, Lille, France; ILIS – Lille Institute of Healthcare Engineering, Université Lille 2, Lille, France; Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, Via Re David 200, Bari, 70125, Italy},
    abstract={We propose a multi-agent-based architecture for the management of Emergency Supply Chains (ESCs), in which each zone is controlled by an agent. A Decision Support System (DSS) states and solves, in a distributed way, the scheduling problem for the delivery of resources from the ESC supplying zones to the ESC crisis-affected areas. Thanks to the agents’ cooperation, the DSS provides a scheduling plan that guarantees an effective response to emergencies. The approach is applied to two real cases: the Mali and the Japan crisis. Simulations are based on real data that have been validated by a team of logisticians from Airbus Defense and Space. © 2016 Elsevier Ltd},
    author_keywords={Crisis management; Decision Support System; Emergency Supply Chain; Multi-agent system; Scheduling},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N. & Falagario, M. (2017) A technique for efficient multimodal transport planning with conflicting objectives under uncertainty IN 2016 European Control Conference, ECC 2016., 2441-2446.
    [Bibtex]
    @CONFERENCE{Dotoli20172441,
    author={Dotoli, M. and Epicoco, N. and Falagario, M.},
    title={A technique for efficient multimodal transport planning with conflicting objectives under uncertainty},
    journal={2016 European Control Conference, ECC 2016},
    year={2017},
    pages={2441-2446},
    doi={10.1109/ECC.2016.7810656},
    art_number={7810656},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015015532&doi=10.1109%2fECC.2016.7810656&partnerID=40&md5=64b0c90acc204f7f0a66eee29673487d},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Department of Mathematics Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy},
    abstract={Multimodal freight transport is growing as a means to reduce environmental impact and road congestion, and to increase road safety. The proper planning and management of multimodal transport is a key issue to ensure the competitiveness of companies. In this paper we present a fuzzy cross-efficiency Data Envelopment Analysis (DEA) technique for efficient multimodal transport planning in a multi-objective perspective, under uncertainty, and with a high discriminative power. The approach is tested on a real case study, showing its effectiveness in determining the most efficient transport planning and in identifying the distance from which multimodality is more efficient than all-road transport. © 2016 EUCA.},
    document_type={Conference Paper},
    source={Scopus},
    }

2016

  • [DOI] Carli, R., Dotoli, M., Andria, G. & Lanzolla, A. M. L. (2016) Bi-level programming for the strategic energy management of a smart city IN EESMS 2016 – 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, Proceedings..
    [Bibtex]
    @CONFERENCE{Carli2016,
    author={Carli, R. and Dotoli, M. and Andria, G. and Lanzolla, A.M.L.},
    title={Bi-level programming for the strategic energy management of a smart city},
    journal={EESMS 2016 - 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, Proceedings},
    year={2016},
    doi={10.1109/EESMS.2016.7504820},
    art_number={7504820},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84980371756&doi=10.1109%2fEESMS.2016.7504820&partnerID=40&md5=645711d93f3fee6a0e376fe0decdd093},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper addresses the emerging need for tools devoted to the strategic energy management of smart cities. We propose a novel decision model that supports the energy manager in governing the smart city while addressing different urban sectors with an integrated and structured energy retrofit planning. A bi-level programming model integrates several decision making units (decision panels), each focusing on the energy optimization of a specific urban subsystem, and a central decision unit. We solve the bi-level decision problem by a game theoretic distributed approach. We apply the developed decision model to the case study of the city of Bari (Italy), where a smart city program has recently been launched. © 2016 IEEE.},
    author_keywords={bi-level programming; decision support system; distributed optimization; energy efficiency; energy management; smart city},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M. & Sciancalepore, F. (2016) A stochastic cross-efficiency data envelopment analysis approach for supplier selection under uncertainty. IN International Transactions in Operational Research, 23.725-748.
    [Bibtex]
    @ARTICLE{Dotoli2016725,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Sciancalepore, F.},
    title={A stochastic cross-efficiency data envelopment analysis approach for supplier selection under uncertainty},
    journal={International Transactions in Operational Research},
    year={2016},
    volume={23},
    number={4},
    pages={725-748},
    doi={10.1111/itor.12155},
    note={cited By 47},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959365566&doi=10.1111%2fitor.12155&partnerID=40&md5=05c4875bc723279001f5267f45504640},
    affiliation={Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, Italy; Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Italy},
    abstract={This paper addresses one of the key objectives of the supply chain strategic design phase, that is, the optimal selection of suppliers. A methodology for supplier selection under uncertainty is proposed, integrating the cross-efficiency data envelopment analysis (DEA) and Monte Carlo approach. The combination of these two techniques allows overcoming the deterministic feature of the classical cross-efficiency DEA approach. Moreover, we define an indicator of the robustness of the determined supplier ranking. The technique is able to manage the supplier selection problem considering nondeterministic input and output data. It allows the evaluation of suppliers under uncertainty, a particularly significant circumstance for the assessment of potential suppliers. The novel approach helps buyers in choosing the right partners under uncertainty and ranking suppliers upon a multiple sourcing strategy, even when considering complex evaluations with a high number of suppliers and many input and output criteria. © 2016 The Authors.},
    author_keywords={Data envelopment analysis; Monte Carlo method; Supplier evaluation; Uncertainty modeling},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Cavone, G., Dotoli, M. & Seatzu, C. (2016) Resource planning of intermodal terminals using timed Petri nets IN 2016 13th International Workshop on Discrete Event Systems, WODES 2016., 44-50.
    [Bibtex]
    @CONFERENCE{Cavone201644,
    author={Cavone, G. and Dotoli, M. and Seatzu, C.},
    title={Resource planning of intermodal terminals using timed Petri nets},
    journal={2016 13th International Workshop on Discrete Event Systems, WODES 2016},
    year={2016},
    pages={44-50},
    doi={10.1109/WODES.2016.7497824},
    art_number={7497824},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84981302932&doi=10.1109%2fWODES.2016.7497824&partnerID=40&md5=6e380dff1ab12bf5ebd7b38ef41fe0ac},
    affiliation={Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy; Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={In this paper we show how timed Petri nets can be efficiently used to solve problems related to resource planning in intermodal freight transport terminals. In particular, the tackled issues regard the strategic planning of the number of facilities used to transfer the intermodal transport units and the capacity/frequency of the transportation means. A real case study is considered, namely a rail-road terminal located in southern Italy. Monte Carlo simulations based on the timed Petri net model of the terminal are carried out considering various scenarios, including both the regular behavior based on real data, and situations of potential congestion resulting from increase in the commercial flows. © 2016 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M. & Cavone, G. (2016) A Timed Petri Nets Model for Performance Evaluation of Intermodal Freight Transport Terminals. IN IEEE Transactions on Automation Science and Engineering, 13.842-857.
    [Bibtex]
    @ARTICLE{Dotoli2016842,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Cavone, G.},
    title={A Timed Petri Nets Model for Performance Evaluation of Intermodal Freight Transport Terminals},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2016},
    volume={13},
    number={2},
    pages={842-857},
    doi={10.1109/TASE.2015.2404438},
    art_number={7057695},
    note={cited By 39},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929017877&doi=10.1109%2fTASE.2015.2404438&partnerID=40&md5=04520d65c7c1306a86a7b871f538bcae},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, 70125, Italy; Department of Mathematics, Mechanics and Management Engineering, Politecnico di Bari, Bari, 70126, Italy; Department of Electric and Electronical Engineering, Università degli Studi di Cagliari, Cagliari, 09123, Italy},
    abstract={This paper presents a general modeling framework for Intermodal Freight Transport Terminals (IFTTs). The model allows simulating and evaluating the performance of such key elements of the intermodal transportation chain. Hence, it may be used by the decision maker to identify the IFTT bottlenecks, as well as to test different solutions to improve the IFTT dynamics. The proposed modeling framework is modular and based on timed Petri Nets (PNs), where places represent resources and capacities or conditions, transitions model inputs, flows, and activities into the terminal and tokens are intermodal transport units or the means on which they are transported. The model is able to represent the different types of existing IFTTs. Its effectiveness is tested first on an example from the literature and then on a real case study, the railroad inland terminal of a leading Italian intermodal logistics company, showing its ease of application. In the real case study, using the proposed formalism we test the as-is IFTT performance and evaluate alternative possible to-be improvements in order to identify and eliminate emerging criticalities in the terminal dynamics. © 2015 IEEE.},
    author_keywords={Discrete-event systems; intermodal freight transport; modeling; performance evaluation; simulation; timed Petri nets},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Cavone, G., Dotoli, M. & Seatzu, C. (2016) Management of Intermodal Freight Terminals by First-Order Hybrid Petri Nets. IN IEEE Robotics and Automation Letters, 1.2-9.
    [Bibtex]
    @ARTICLE{Cavone20162,
    author={Cavone, G. and Dotoli, M. and Seatzu, C.},
    title={Management of Intermodal Freight Terminals by First-Order Hybrid Petri Nets},
    journal={IEEE Robotics and Automation Letters},
    year={2016},
    volume={1},
    number={1},
    pages={2-9},
    doi={10.1109/LRA.2015.2502905},
    art_number={7339445},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058585244&doi=10.1109%2fLRA.2015.2502905&partnerID=40&md5=5a498586aaee188bb2339dd6fff680ce},
    affiliation={Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, 09123, Italy; Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, 70125, Italy},
    abstract={In this paper, we show how first-order hybrid Petri nets can be efficiently used to model and manage intermodal freight transport terminals. The proposed formalism enables the terminal decision maker to choose the speeds associated with continuous transitions in order to optimize the terminal performance by two alternative control policies: the container flows maximization and the minimization of the residual containers in the storage area. The approach may be used either offline, to take decisions on the terminal resources, or online, to solve congestions/malfunctions. A real case study is modeled and managed by the proposed optimal control policies. © 2016 IEEE.},
    author_keywords={Discrete Event Dynamic Automation Systems; Logistics; Petri Nets for Automation Control},
    document_type={Article},
    source={Scopus},
    }

2015

  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Angelico, B. & Vinciullo, A. (2015) A two-step optimization model for the pre- and end-haulage of containers at intermodal freight terminals IN 2015 European Control Conference, ECC 2015., 3472-3477.
    [Bibtex]
    @CONFERENCE{Dotoli20153472,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Angelico, B. and Vinciullo, A.},
    title={A two-step optimization model for the pre- and end-haulage of containers at intermodal freight terminals},
    journal={2015 European Control Conference, ECC 2015},
    year={2015},
    pages={3472-3477},
    doi={10.1109/ECC.2015.7331071},
    art_number={7331071},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963799902&doi=10.1109%2fECC.2015.7331071&partnerID=40&md5=025d5a96d0a749c51da62cd89b09b4fe},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Department of Mathematics, Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy},
    abstract={The paper focuses on the optimization of containers pre- and end-haulage by road in intermodal terminals, which is one of the most critical factors in door to door transport effectiveness and profit. We present an optimization model that allows solving in an exact and optimal way the vehicle routing and fleet management problems. The model comprises two steps: first it optimizes the distance traveled by road, enabling to match a delivery with a pick up; the second step is devoted to minimizing the number of vehicles required for the deliveries, while satisfying the routes obtained from the previous step. The proposed optimization model is applied to a real case study to test its effectiveness. © 2015 EUCA.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N. & Falagario, M. (2015) Integrated supplier selection and order allocation under uncertainty in agile supply chains IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA..
    [Bibtex]
    @CONFERENCE{Dotoli2015,
    author={Dotoli, M. and Epicoco, N. and Falagario, M.},
    title={Integrated supplier selection and order allocation under uncertainty in agile supply chains},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2015},
    volume={2015-October},
    doi={10.1109/ETFA.2015.7301509},
    art_number={7301509},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952912259&doi=10.1109%2fETFA.2015.7301509&partnerID=40&md5=0c2187c85b7474af8440d5fd9fd0f3f1},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Dept. of Mathematics, Mechanics and Management, Politecnico di Bari, Bari, Italy},
    abstract={This paper focuses on the supplier selection problem and the subsequent order allocation, extending an approach originally proposed by some of the authors for supplier ranking under uncertainty. The novel method integrates the cross-efficiency Data Envelopment Analysis and the fuzzy set theory to obtain a ranking of suppliers under nondeterministic evaluation criteria. Subsequently, a fuzzy integer linear programming model allows determining the quantities to require from each supplier as a compromise between the suppliers' efficiency, procurement costs, and time required to fulfill the order, while respecting the suppliers' capacity and satisfying the customers' demand. The case study of an SME manufacturer shows the technique effectiveness. © 2015 IEEE.},
    author_keywords={agile supply chain; data envelopment analysis; fuzzy logic; manufacturing; order allocation; supplier selection; uncertainty},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N. & Seatzu, C. (2015) An improved technique for train load planning at intermodal rail-road terminals IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA..
    [Bibtex]
    @CONFERENCE{Dotoli2015,
    author={Dotoli, M. and Epicoco, N. and Seatzu, C.},
    title={An improved technique for train load planning at intermodal rail-road terminals},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2015},
    volume={2015-October},
    doi={10.1109/ETFA.2015.7301580},
    art_number={7301580},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952908064&doi=10.1109%2fETFA.2015.7301580&partnerID=40&md5=16668e6fa05111e7cfacf104b43ef027},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Dept. of Electrical and Electronic Engineering, Università di Cagliari, Cagliari, Italy},
    abstract={This paper presents a train load planning technique for intermodal rail-road terminals. The proposed method aims at maximizing the train commercial value while respecting priority, physical, financial, and prosecution constraints (i.e., taking into account containers that prosecute their trip after the first destination). The approach consists of two phases: 1) modifying a previous approach by some of the authors, a linear integer programming problem is solved to maximize the train commercial value, keeping into account urgencies and priorities; 2) hence, a heuristics is used to take into account prosecuting containers and reduce the number of wagons to be re-handled. The technique is tested on a real case study and compared with the previous strategy proposed by some of the authors to show its effectiveness and ease of application. © 2015 IEEE.},
    author_keywords={intermodal freight transport; load planning; optimization; rail-road transport; train composition},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M. & Pellegrino, R. (2015) ICT and optimization for the energy management of smart cities: The street lighting decision panel IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA..
    [Bibtex]
    @CONFERENCE{Carli2015,
    author={Carli, R. and Dotoli, M. and Pellegrino, R.},
    title={ICT and optimization for the energy management of smart cities: The street lighting decision panel},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2015},
    volume={2015-October},
    doi={10.1109/ETFA.2015.7301435},
    art_number={7301435},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952882893&doi=10.1109%2fETFA.2015.7301435&partnerID=40&md5=012ab885ea35346c5c280804295955c9},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Dept. of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy},
    abstract={The paper addresses the emerging need for tools devoted to the energy governance of smart cities. We propose a hierarchical decision process that supports the energy manager in governing the smart city while addressing different urban sectors with an integrated, structured, and transparent planning. Starting from the urban control center proposed in a previous contribution for the urban energy management, a hierarchical strategic decision structure is proposed. More in detail, a two-level decentralized programming model integrates several decision making units (decision panels), each focusing on the energy optimization of a specific urban subsystem. We focus on the presentation of the street lighting decision panel and on its application to the energy management of the public lighting of the city of Bari (Italy), where a smart city program has recently been launched. © 2015 IEEE.},
    author_keywords={Cities and towns; Decision making; Lighting; Optimization; Smart cities},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M., Pellegrino, R. & Ranieri, L. (2015) Using multi-objective optimization for the integrated energy efficiency improvement of a smart city public buildings’ portfolio IN IEEE International Conference on Automation Science and Engineering., 21-26.
    [Bibtex]
    @CONFERENCE{Carli201521,
    author={Carli, R. and Dotoli, M. and Pellegrino, R. and Ranieri, L.},
    title={Using multi-objective optimization for the integrated energy efficiency improvement of a smart city public buildings' portfolio},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2015},
    volume={2015-October},
    pages={21-26},
    doi={10.1109/CoASE.2015.7294035},
    art_number={7294035},
    note={cited By 25},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952780524&doi=10.1109%2fCoASE.2015.7294035&partnerID=40&md5=64470489d4914a6d949700900aa47d44},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Department of Mechanics, Mathematics and Management, Polytechnic of Bari, Bari, Italy; Department of Engineering and Innovation, University of Salento, Lecce, Italy},
    abstract={The paper presents a multi-objective optimization algorithm to improve in an integrated and holistic way the building stock energy efficiency, sustainability, and comfort, while efficiently allocating the available budget to the buildings. The developed algorithm determines a set of optimal energy retrofit plans for a portfolio of public buildings in a smart city. An existing stock of public buildings located in the municipality of Bari, Italy is used as case study. The application results demonstrate that the developed algorithm is an effective support tool for the smart city governance in enhancing the energy efficiency performance of a stock of public buildings. © 2015 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M., Epicoco, N., Angelico, B. & Vinciullo, A. (2015) Automated evaluation of urban traffic congestion using bus as a probe IN IEEE International Conference on Automation Science and Engineering., 967-972.
    [Bibtex]
    @CONFERENCE{Carli2015967,
    author={Carli, R. and Dotoli, M. and Epicoco, N. and Angelico, B. and Vinciullo, A.},
    title={Automated evaluation of urban traffic congestion using bus as a probe},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2015},
    volume={2015-October},
    pages={967-972},
    doi={10.1109/CoASE.2015.7294224},
    art_number={7294224},
    note={cited By 22},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952762623&doi=10.1109%2fCoASE.2015.7294224&partnerID=40&md5=c2588eba274a644410a09da25d3699b5},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper presents an algorithm for the automated analysis and evaluation of vehicular traffic congestion in urban areas. The proposed approach is based on the concept of bus as a probe and makes use of GPS-generated data provided by a local transit bus tracking system. Archived GPS pulses are analyzed offline to extract valuable indices related to general urban traffic characteristics and aimed at generating a detailed view of the urban roads congestion. This information is useful both for policy makers, to effectively address the management of sustainable mobility in urban areas, and for citizens, to acquire awareness about congestion times and location zones. The presented algorithm is applied to a part of the urban road network of the municipality of Bari (Italy). © 2015 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Bevilacqua, V., Carnimeo, L., Guccione, P., Mastronardi, G., Uva, A. E., Fiorentino, M., Monno, G., Marino, F., Dotoli, M., Costantino, N., Dassisti, M. & Carbonara, N. (2015) A multimodal system for nonverbal human feature recognition in emotional framework IN ACM International Conference Proceeding Series., 19-24.
    [Bibtex]
    @CONFERENCE{Bevilacqua201519,
    author={Bevilacqua, V. and Carnimeo, L. and Guccione, P. and Mastronardi, G. and Uva, A.E. and Fiorentino, M. and Monno, G. and Marino, F. and Dotoli, M. and Costantino, N. and Dassisti, M. and Carbonara, N.},
    title={A multimodal system for nonverbal human feature recognition in emotional framework},
    journal={ACM International Conference Proceeding Series},
    year={2015},
    volume={2015-September},
    pages={19-24},
    doi={10.1145/2809643.2809645},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947423101&doi=10.1145%2f2809643.2809645&partnerID=40&md5=72e90f3bd43f54d629785ef122ef80e8},
    affiliation={Dipartimento di Ingegneria Elettrica e Dell'informazione, Politecnico di Bari, Bari, Italy; Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari, Italy},
    abstract={A correct recognition of nonverbal expressions is currently one of the most important challenges of research in the field of human computer interaction. The ability to recognize human actions could change the way to interact with machines in several environments and contexts, or even the way to live. In this paper, we describe the advances of a previous study finalized to design, implement and validate an innovative recognition system already developed by some of the authors. It was aimed at recognizing two opposite emotional conditions (resonance and dissonance) of a candidate to a job position interacting with the recruiter during a job interview. Results in terms of the accuracy, resonance rate, and dissonance rate of the three new optimized neural networkbased (NN) classifiers are discussed. Comparison with previous results of three NN classifiers is also presented based on three single domains: facial, vocal and gestural. © 2015 held by the owner/author(s).},
    author_keywords={Facial/vocal/gestural features; Job interview; Neural networks and support vector machines; Nonverbal emotional recognition},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Albino, V., Dotoli, M., Mummolo, G. & Savino, M. (2015) A dashboard and decision support tool for the energy governance of smart cities IN 2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2015 – Proceedings., 23-28.
    [Bibtex]
    @CONFERENCE{Carli201523,
    author={Carli, R. and Albino, V. and Dotoli, M. and Mummolo, G. and Savino, M.},
    title={A dashboard and decision support tool for the energy governance of smart cities},
    journal={2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2015 - Proceedings},
    year={2015},
    pages={23-28},
    doi={10.1109/EESMS.2015.7175846},
    art_number={7175846},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84950984321&doi=10.1109%2fEESMS.2015.7175846&partnerID=40&md5=675d5e25da8794e638be9ff52797dd47},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Dept. of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy},
    abstract={The paper addresses the findings of the research activities conducted in the framework of the RES NOVAE project for the design and development of the Urban Control Center (UCC), a control room of the smart city that allows the Public Administration to analyze the city dynamics and citizens to receive information on the performance of urban infrastructure and services. With a specific focus on energy efficiency and environmental sustainability, we present the architecture of an innovative dashboard and decision support tool for efficient urban governance. We investigate solutions to effectively measure the city energy performance and proficiently support the decision maker in determining the optimal action plan for implementing smartness strategies in the city energy governance. © 2015 IEEE.},
    author_keywords={decision support system; energy efficiency; indicators dashboard; information and communication technologies; management; monitoring; multi-attribute analysis; multi-objective optimization; optimization; smart cities},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Costantino, N. & Turchiano, B. (2015) An integrated approach for warehouse analysis and optimization: A case study. IN Computers in Industry, 70.56-69.
    [Bibtex]
    @ARTICLE{Dotoli201556,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Costantino, N. and Turchiano, B.},
    title={An integrated approach for warehouse analysis and optimization: A case study},
    journal={Computers in Industry},
    year={2015},
    volume={70},
    number={1},
    pages={56-69},
    doi={10.1016/j.compind.2014.12.004},
    note={cited By 44},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926355397&doi=10.1016%2fj.compind.2014.12.004&partnerID=40&md5=a12e368cf5ec2e7108d105646b343320},
    affiliation={Department of Information and Electrical Engineering, Politecnico di Bari, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Italy},
    abstract={The paper focuses on the analysis and optimization of production warehouses, proposing a novel approach to reduce inefficiencies which employs three lean manufacturing tools in an integrated and iterative framework. The proposed approach integrates the Unified Modeling Language (UML) - providing a detailed description of the warehouse logistics - the Value Stream Mapping (VSM) tool - identifying non-value adding activities - and a mathematical formulation of the so-called Genba Shikumi philosophy - ranking such system anomalies and assessing how they affect the warehouse. The subsequent reapplication of the VSM produces a complete picture of the reengineered warehouse, and using the UML tool allows describing in detail the updated system. By applying the presented methodology to the warehouse of an Italian interior design producer, we show that it represents a useful tool to systematically and dynamically improve the warehouse management. Indeed, the application of the approach to the company leads to an innovative proposal for the warehouse analysis and optimization: a warehouse management system that leads to increased profitability and quality as well as to reduced errors. © 2014 Elsevier B.V. All rights reserved.},
    author_keywords={Analysis; Genba Shikumi; Optimization; Unified modeling language; Value stream mapping; Warehouse},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fay, A., Miskowicz, M. & Seatzu, C. (2015) A survey on advanced control approaches in factory automation IN IFAC-PapersOnLine., 394-399.
    [Bibtex]
    @CONFERENCE{Dotoli2015394,
    author={Dotoli, M. and Fay, A. and Miskowicz, M. and Seatzu, C.},
    title={A survey on advanced control approaches in factory automation},
    journal={IFAC-PapersOnLine},
    year={2015},
    volume={28},
    number={3},
    pages={394-399},
    doi={10.1016/j.ifacol.2015.06.113},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953865196&doi=10.1016%2fj.ifacol.2015.06.113&partnerID=40&md5=7487e152c395d18b98f21b4ebcbe27f2},
    affiliation={Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, Bari, Italy; Institute of Automation Technology, Helmut Schmidt University Hamburg, Hamburg, Germany; Department of Electronics, AGH University of Science and Technology, Krakow, Poland; Dipartimento di Ingegneria Elettrica ed Elettronica, University of Cagliari, Cagliari, Italy},
    abstract={The goal of this paper consists in providing a survey of the main advanced control techniques currently adopted in factory automation. In particular, attention is devoted to model based control, model predictive control, intelligent and adaptive control, discrete event and event-triggered control. Open issues and challenges are pointed out, and the needs for further research efforts are discussed in detail. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.},
    author_keywords={Adaptive control; Advanced control; Discrete event control; Event-triggered control; Factory automation; Intelligent control; Model based control; Model predictive control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2015) A decentralized resource allocation approach for sharing renewable energy among interconnected smart homes IN Proceedings of the IEEE Conference on Decision and Control., 5903-5908.
    [Bibtex]
    @CONFERENCE{Carli20155903,
    author={Carli, R. and Dotoli, M.},
    title={A decentralized resource allocation approach for sharing renewable energy among interconnected smart homes},
    journal={Proceedings of the IEEE Conference on Decision and Control},
    year={2015},
    volume={54rd IEEE Conference on Decision and Control,CDC 2015},
    pages={5903-5908},
    doi={10.1109/CDC.2015.7403147},
    art_number={7403147},
    note={cited By 29},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962024908&doi=10.1109%2fCDC.2015.7403147&partnerID=40&md5=194027b41fd3ace430f8f40254ace4de},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={The paper deals with the scheduling of energy activities of a group of interconnected users that buy energy from a producer and share a renewable energy source. The scheduling problem is stated and solved with a twofold goal. First, the model is formulated to ensure social welfare-optimal allocation of the energy produced from the shared renewable energy generator. Second, the model aims at cost-optimal planning of users' controllable appliances taking into account a realistic time-varying quadratic pricing of the energy bought from the distribution network. The solution approach relies on a decentralized optimization algorithm that is composed by a two-level iterative procedure combining Gauss-Seidel decomposition with competitive game formulation. A case study simulated in different scenarios demonstrates that the approach allows exploiting the potential of renewable energy sources' sharing to reduce individual users' energy consumption costs, limiting the peak average ratio of energy profiles and complying with the customer's energy needs. © 2015 IEEE.},
    author_keywords={Energy consumption; Games; Home appliances; Optimization; Pricing; Renewable energy sources; Resource management},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N. & Falagario, M. (2015) A Technique for Supply Chain Network Design under Uncertainty using Cross-Efficiency Fuzzy Data Envelopment Analysis IN IFAC-PapersOnLine., 634-639.
    [Bibtex]
    @CONFERENCE{Dotoli2015634,
    author={Dotoli, M. and Epicoco, N. and Falagario, M.},
    title={A Technique for Supply Chain Network Design under Uncertainty using Cross-Efficiency Fuzzy Data Envelopment Analysis},
    journal={IFAC-PapersOnLine},
    year={2015},
    volume={48},
    number={3},
    pages={634-639},
    doi={10.1016/j.ifacol.2015.06.153},
    note={cited By 8},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953877988&doi=10.1016%2fj.ifacol.2015.06.153&partnerID=40&md5=80301c5e693bc3b2946766f9b7165674},
    affiliation={Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Department of Mathematics, Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy},
    abstract={The paper focuses on Supply Chain Network Design (SCND) under uncertainty. We propose a SCND method extending an approach originally proposed by some of the authors for supplier ranking. The novel method integrates the cross-efficiency Data Envelopment Analysis (DEA) and fuzzy set theory to manage the SCND problem considering nondeterministic input and output data. After ranking all the actors belonging to each SCN stage, a linear integer programming model is stated and solved for each pair of subsequent SC stages to maximize the overall SCN efficiency, while respecting the available capacity at each node and satisfying customers' demand. A case study is presented to show the technique effectiveness. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.},
    author_keywords={cross-efficiency; data envelopment analysis; fuzzy logic; supply chain network design; uncertainty},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Piconese, A., Bourdeaud’Huy, T., Dotoli, M. & Hammadi, S. (2015) A mathematical programming model for the real time traffic management of railway networks under disturbances. IN Communications in Computer and Information Science, 509.215-234.
    [Bibtex]
    @ARTICLE{Piconese2015215,
    author={Piconese, A. and Bourdeaud’Huy, T. and Dotoli, M. and Hammadi, S.},
    title={A mathematical programming model for the real time traffic management of railway networks under disturbances},
    journal={Communications in Computer and Information Science},
    year={2015},
    volume={509},
    pages={215-234},
    doi={10.1007/978-3-319-17509-6_15},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929650069&doi=10.1007%2f978-3-319-17509-6_15&partnerID=40&md5=dd152439a8b3d9703f8defaeba394970},
    affiliation={DEE, Department of Electrical Engineering and Information Science, Politecnico di Bari, Bari, Italy; LAGIS, Ecole Centrale de Lille, Laboratoire d’Automatique, Génie Informatique et Signal, Lille, France},
    abstract={The real-time traffic management allows to solve unexpected disturbances that occur along a railway line during the normal development of the traffic. After a disturbance, the original timetable is restored through the rescheduling process. Despite the improvements of off-line decision support tools for trains dispatchers that enable a better use of rail infrastructure, real-time traffic management received a limited scientific attention. In this paper, we deal with the real time traffic management for regional railway networks, mainly single tracked, in which a centralized traffic control system is installed. The rescheduling problem is presented as a Mixed Integer Linear Programming Model which resolution allows to carry out the rescheduling process in a very short computational time. © Springer International Publishing Switzerland 2015.},
    author_keywords={Centralized traffic control; Mixed Integer Linear Programming; Railway systems; Real-time optimization; Regional networks; Single-tracked},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M. & Sciancalepore, F. (2015) A cross-efficiency fuzzy Data Envelopment Analysis technique for performance evaluation of Decision Making Units under uncertainty. IN Computers and Industrial Engineering, 79.103-114.
    [Bibtex]
    @ARTICLE{Dotoli2015103,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Sciancalepore, F.},
    title={A cross-efficiency fuzzy Data Envelopment Analysis technique for performance evaluation of Decision Making Units under uncertainty},
    journal={Computers and Industrial Engineering},
    year={2015},
    volume={79},
    pages={103-114},
    doi={10.1016/j.cie.2014.10.026},
    note={cited By 97},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911930890&doi=10.1016%2fj.cie.2014.10.026&partnerID=40&md5=921a7a2499b61f6594a4201bba8f8d73},
    affiliation={Dept. of Electrical and Information Engineering, Polytechnic of Bari, Italy; Dept. of Mechanical Engineering Mathematics and Management Engineering, Polytechnic of Bari, Italy},
    abstract={The paper presents a novel cross-efficiency fuzzy Data Envelopment Analysis (DEA) technique for evaluating different elements (Decision Making Units or DMUs) under uncertainty. In order to evaluate the performance of several DMUs while dealing with uncertain input and output data, the presented technique employs triangular fuzzy numbers. A fuzzy triangular efficiency is associated to each DMU through a cross evaluation obtained by a compromise between suitably chosen objectives. Results are then defuzzified to provide a ranking of the DMUs. The proposed method is applied to the performance evaluation of healthcare systems in a region of Southern Italy. The DMU data uncertainty derives from ongoing reforms and the reported assessment is conducted firstly in order to evaluate and rank the efficiency of the considered healthcare systems, and subsequently to assess the evolution of the performance of one of the most affected among these DMUs by the reform plans. The case study demonstrates the model ease of application, its discriminative power among DMUs when compared to a more classical fuzzy DEA approach, and the usefulness in planning and validating targeted reforms in the case of healthcare systems. © 2014 Elsevier Ltd.},
    author_keywords={Analysis; Cross-efficiency; Data; Decision making; Envelopment; Fuzzy logic; Performance evaluation; Uncertainty},
    document_type={Article},
    source={Scopus},
    }

2014

  • [DOI] Dotoli, M., Epicoco, N., Cavone, G., Turchiano, B. & Falagario, M. (2014) Simulation and performance evaluation of an Intermodal terminal using Petri Nets IN Proceedings – 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014., 327-332.
    [Bibtex]
    @CONFERENCE{Dotoli2014327,
    author={Dotoli, M. and Epicoco, N. and Cavone, G. and Turchiano, B. and Falagario, M.},
    title={Simulation and performance evaluation of an Intermodal terminal using Petri Nets},
    journal={Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014},
    year={2014},
    pages={327-332},
    doi={10.1109/CoDIT.2014.6996915},
    art_number={6996915},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921395897&doi=10.1109%2fCoDIT.2014.6996915&partnerID=40&md5=fd846395d6e7004b94407b51c1ec4da3},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Dept. of Mathematics, Mechanics and Management, Politecnico di Bari, Bari, Italy},
    abstract={This paper focuses on modelling and performance evaluation of an Intermodal Freight Transport Terminal (IFTT), the rail-road inland terminal of a leading Italian intermodal logistics company. The IFTT is regarded as a discrete event system and is modelled in a timed Petri net framework. By means of suitable performance indices, we simulate the Petri net model and evaluate the operational performance of the transport system. This allows assessing the efficiency level of the terminal and identifying its criticalities and bottlenecks. Further, the model allows evaluating different solutions to the recognized criticalities under alternative scenarios (e.g., when inflow traffic increases and congestions may occur). © 2014 IEEE.},
    author_keywords={Discrete event systems; Intermodal transport terminal; Modelling; Performance evaluation; Simulation; Timed Petri nets},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Turchiano, B., Falagario, M. & Sciancalepore, F. (2014) Simulation and evaluation of the auction based day ahead energy market via a Nash equilibrium model and zonal pricing IN 2014 22nd Mediterranean Conference on Control and Automation, MED 2014., 1061-1066.
    [Bibtex]
    @CONFERENCE{Dotoli20141061,
    author={Dotoli, M. and Epicoco, N. and Turchiano, B. and Falagario, M. and Sciancalepore, F.},
    title={Simulation and evaluation of the auction based day ahead energy market via a Nash equilibrium model and zonal pricing},
    journal={2014 22nd Mediterranean Conference on Control and Automation, MED 2014},
    year={2014},
    pages={1061-1066},
    doi={10.1109/MED.2014.6961515},
    art_number={6961515},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84916888779&doi=10.1109%2fMED.2014.6961515&partnerID=40&md5=96eaf43cc7d748f4979f1e745df559bb},
    affiliation={Dept. of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Dept. of Mathematics, Mechanics and Management Eng., Polytechnic of Bari, Bari, Italy},
    abstract={We present a simulation model based on the Nash equilibrium for the analysis of the auction based day ahead electricity generation market. Starting from the empirical data distributions of the market clearing price and the energy demand registered by the supervisory authority, the model allows evaluating the market competitiveness and preventing anticompetitive actions by participants. It also represents a basis for a decision support tool for producers to define their optimal bidding strategy. With respect to other existing models, it allows considering differences in the generation capacities of producers, in the utilized energy sources, and in the zonal market. The model is tested in the Italian energy market by means of two different scenarios and by varying the number of bidders and their production capacities. © 2014 IEEE.},
    author_keywords={auction; competitiveness; electricity market; game theory; generation companies; Nash equilibrium; simulation},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Seatzu, C. & Turchiano, B. (2014) Optimization of intermodal rail-road freight transport terminals IN Proceedings – IEEE International Conference on Robotics and Automation., 1971-1976.
    [Bibtex]
    @CONFERENCE{Dotoli20141971,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Seatzu, C. and Turchiano, B.},
    title={Optimization of intermodal rail-road freight transport terminals},
    journal={Proceedings - IEEE International Conference on Robotics and Automation},
    year={2014},
    pages={1971-1976},
    doi={10.1109/ICRA.2014.6907120},
    art_number={6907120},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929208527&doi=10.1109%2fICRA.2014.6907120&partnerID=40&md5=92706f4392f3bb5e46ee05561f09136c},
    affiliation={Department of Information and Electrical Engineering, Politecnico di Bari, Bari, Italy; Department of Mechanics, Mathematics and Management Engineering, Politecnico di Bari, Bari, Italy; Department of Electrical and Electronic Engineering, University of Cagliari, Italy},
    abstract={In this paper we present a decision support scheme to help managing and optimizing two critical activities in intermodal terminals, namely the containers allocation in the terminal yard and the freight trains composition. In particular, the focus of this paper is on the first problem and the goal is that of maximizing the utilization of the available space while keeping into account several constraints. The approach was successfully tested on a real case study, the rail-road terminal of a leading intermodal logistics company. © 2014 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Bevilacqua, V., Dotoli, M., Foglia, M. M., Acciani, F., Tattoli, G. & Valori, M. (2014) Artificial neural networks for feedback control of a human elbow hydraulic prosthesis. IN Neurocomputing, 137.3-11.
    [Bibtex]
    @ARTICLE{Bevilacqua20143,
    author={Bevilacqua, V. and Dotoli, M. and Foglia, M.M. and Acciani, F. and Tattoli, G. and Valori, M.},
    title={Artificial neural networks for feedback control of a human elbow hydraulic prosthesis},
    journal={Neurocomputing},
    year={2014},
    volume={137},
    pages={3-11},
    doi={10.1016/j.neucom.2013.05.066},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84899638087&doi=10.1016%2fj.neucom.2013.05.066&partnerID=40&md5=d9d0dcfdb1b0874d1405ce613f59dcf7},
    affiliation={Department of Information and Electrical Engineering, Polytechnic of Bari, Italy; Department of Mechanics, Mathematics and Management, Polytechnic of Bari, Italy},
    abstract={The paper addresses feedback control of actuated prostheses based on the Stewart platform parallel mechanism. In such a problem it is essential to apply a feasible numerical method to determine in real time the solution of the forward kinematics, which is highly nonlinear and characterized by analytical indetermination. In this paper, the forward kinematics problem for a human elbow hydraulic prosthesis developed by the research group of Polytechnic of Bari is solved using artificial neural networks as an effective and simple method to obtain in real time the solution of the problem while limiting the computational effort. We show the effectiveness of the technique by designing a PID controller that governs the arm motion thanks to the provided neural computation of the forward kinematics. © 2014 Elsevier B.V.},
    author_keywords={Artificial neural networks; Control; Forward kinematics; Human prosthesis; Parallel mechanism; Simulation},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Turchiano, B., Cavone, G. & Convertini, A. (2014) A Decision Support System for real-time rescheduling of railways IN 2014 European Control Conference, ECC 2014., 696-701.
    [Bibtex]
    @CONFERENCE{Dotoli2014696,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Turchiano, B. and Cavone, G. and Convertini, A.},
    title={A Decision Support System for real-time rescheduling of railways},
    journal={2014 European Control Conference, ECC 2014},
    year={2014},
    pages={696-701},
    doi={10.1109/ECC.2014.6862177},
    art_number={6862177},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911480266&doi=10.1109%2fECC.2014.6862177&partnerID=40&md5=1a944040060d3fed8ad9f768f452b52a},
    affiliation={Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy; Department of Mechanical Engineering, Mathematics and Management of the Polytechnic of Bari, Italy},
    abstract={We present a Decision Support System (DSS) for real-time management of railway networks. The DSS employs a mathematical programming approach addressing traffic rescheduling under unexpected disturbances in a mixed-(single- and double-) tracked network. The DSS simulates the network behavior with the mathematical programming model based on the railway topology and constraints, rescheduling the timetable in real time, detecting and solving conflicts in the network. The DSS is applied to a real data set related to a large portion of a regional network in Southern Italy. © 2014 EUCA.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Danielis, R., Dotoli, M., Fanti, M. P., Mangini, A. M., Pesenti, R., Stecco, G. & Ukovich, W. (2014) Integrating ICT into Logistics Intermodal Systems: A petri net model of the Trieste port IN 2009 European Control Conference, ECC 2009., 4769-4774.
    [Bibtex]
    @CONFERENCE{Danielis20144769,
    author={Danielis, R. and Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Pesenti, R. and Stecco, G. and Ukovich, W.},
    title={Integrating ICT into Logistics Intermodal Systems: A petri net model of the Trieste port},
    journal={2009 European Control Conference, ECC 2009},
    year={2014},
    pages={4769-4774},
    doi={10.23919/ecc.2009.7075154},
    art_number={7075154},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955199195&doi=10.23919%2fecc.2009.7075154&partnerID=40&md5=65f8221d56181b5a7bade81cb6eb5f82},
    affiliation={Department of Economics and Statistics, University of Trieste, Italy; Department of Elettrotecnica Ed Elettronica, Politecnico di Bari, Italy; Department of Applied Mathematics, University Ca' Foscari, Venice, Italy; Department of Electronics, Electrical Engineering and Computer Science, University of Trieste, Trieste, Italy},
    abstract={The paper focuses on the issue of the modeling and management of Logistics Intermodal Systems (LIS) integrated by ICT (Information and Communication Technologies) tools. To this aim, we consider as a case study the port of Trieste (Italy) and we model the system in a Petri net framework. The port logistics and the truck traffic are described in different operative conditions characterized by different levels of ICT integration and information sharing between infrastructures and operators. Moreover, the system is simulated in the Matlab environment under different traffic scenarios and system capacity assumptions. The simulation results show that ICT have a huge potential for efficient real time management and operation of LIS. © 2009 EUCA.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Iacobellis, G. & Rotunno, G. (2014) An integrated technique for the internal logistics analysis and management in discrete manufacturing systems. IN International Journal of Computer Integrated Manufacturing, 27.165-180.
    [Bibtex]
    @ARTICLE{Dotoli2014165,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Rotunno, G.},
    title={An integrated technique for the internal logistics analysis and management in discrete manufacturing systems},
    journal={International Journal of Computer Integrated Manufacturing},
    year={2014},
    volume={27},
    number={2},
    pages={165-180},
    doi={10.1080/0951192X.2013.802370},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890121908&doi=10.1080%2f0951192X.2013.802370&partnerID=40&md5=c70041fa7c1c279e6da5613a202224e7},
    affiliation={Dipartimento di Ingegneria Elettrica e Dell'Informazione, Politecnico di Bari, 70125 Bari, Italy; Dipartimento di Ingegneria Industriale e Dell'Informazione, University of Trieste, Trieste, Italy},
    abstract={A novel hierarchical and iterative technique is presented for the analysis and management of the internal logistics of manufacturing systems. The method effectively integrates the value stream mapping (VSM) tool, the analytic hierarchy process (AHP) approach, and discrete event simulation. Starting from a concise description of the manufacturing system obtained by the VSM graphical approach, so as to identify nonvalue-adding activities, a detailed and standardised description is obtained by the unified modelling language (UML). Then the AHP technique is used to rank the system anomalies, singling out the major ones. Further application of the VSM tool produces an overall picture of the desired manufacturing system internal flow, and the UML description details the to-be system activities. Finally, the use of discrete event simulation allows the quantitative verification of the effects of the changes in the production system. The proposed technique is a tool to systematically improve the internal logistics of complex production systems while assessing the system dynamics and corresponding performance improvements. An application of the method to a real case study enlightens its effectiveness. © 2013 Taylor & Francis.},
    author_keywords={analytic hierarchy process; discrete event simulation; internal logistics; manufacturing systems; unified modelling language; value stream mapping},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M. & Sciancalepore, F. (2014) Supplier evaluation and selection under uncertainty via an integrated model using cross-efficiency Data Envelopment Analysis and Monte Carlo simulation IN 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014..
    [Bibtex]
    @CONFERENCE{Dotoli2014,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Sciancalepore, F.},
    title={Supplier evaluation and selection under uncertainty via an integrated model using cross-efficiency Data Envelopment Analysis and Monte Carlo simulation},
    journal={19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014},
    year={2014},
    doi={10.1109/ETFA.2014.7005102},
    art_number={7005102},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983146247&doi=10.1109%2fETFA.2014.7005102&partnerID=40&md5=c5da4b3d399574a5e6fc8539516dbba6},
    affiliation={Politecnico di Bari, Bari, Italy; Dept. Information and Electrical Eng., Via Orabona 4, Bari, Italy; Dept. Mechanical Eng., Math. and Manag., Viale Japigia 182, Bari, Italy},
    abstract={This paper addresses a key objective of the supply chain strategic design, i.e., the optimal selection of suppliers under uncertainty. A methodology integrating the cross-efficiency Data Envelopment Analysis and the Monte Carlo approach is proposed. Their combination allows overcoming the deterministic feature of the classical cross-efficiency DEA. Moreover, we define an indicator of the robustness of the determined supplier ranking. The resulting technique allows managing the supplier selection problem while considering nondeterministic input and output data, a significant circumstance for assessing potential suppliers, with which there are no previous commercial relationships. The approach helps buyers in choosing the right partners under uncertainty and ranking them upon a multiple sourcing strategy. © 2014 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Deidda, P., Dotoli, M. & Pellegrino, R. (2014) An urban control center for the energy governance of a smart city IN 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014..
    [Bibtex]
    @CONFERENCE{Carli2014,
    author={Carli, R. and Deidda, P. and Dotoli, M. and Pellegrino, R.},
    title={An urban control center for the energy governance of a smart city},
    journal={19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014},
    year={2014},
    doi={10.1109/ETFA.2014.7005155},
    art_number={7005155},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946686880&doi=10.1109%2fETFA.2014.7005155&partnerID=40&md5=7ae375bfea52c5c6212722aca93bc04d},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Rome Smart Solutions Lab, IBM Italy S.p.A., Rome, Italy; Dept. of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy},
    abstract={The paper addresses the emerging need of providing urban managers with tools for energy governance of smart cities. We present the architecture of a decision support system called Urban Control Center (UCC). The UCC measures the city energy performance and supports the decision maker in determining the optimal action plan for implementing smartness strategies in the city energy governance. To this aim, the UCC relies on a two-level decentralized programming model that integrates several decision making units (decision panels), each focusing on the energy optimization of a specific urban subsystem. © 2014 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R. & Dotoli, M. (2014) Energy scheduling of a smart home under nonlinear pricing IN Proceedings of the IEEE Conference on Decision and Control., 5648-5653.
    [Bibtex]
    @CONFERENCE{Carli20145648,
    author={Carli, R. and Dotoli, M.},
    title={Energy scheduling of a smart home under nonlinear pricing},
    journal={Proceedings of the IEEE Conference on Decision and Control},
    year={2014},
    volume={2015-February},
    number={February},
    pages={5648-5653},
    doi={10.1109/CDC.2014.7040273},
    art_number={7040273},
    note={cited By 36},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961994657&doi=10.1109%2fCDC.2014.7040273&partnerID=40&md5=55539508a30611826d5d2e0f0b11c853},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy},
    abstract={The paper focuses on the scheduling of energy activities in smart homes equipped with controllable electrical appliances, renewable energy sources, dispatchable energy generators, and energy storage systems. We formulate a mixed integer quadratic programming energy scheduling algorithm for cost minimization under nonlinear pricing. The scheduling technique manages the use of electrical appliances, plans the energy production and supplying, and programs the storage systems charging/discharging. A case study simulated in different scenarios demonstrates that the approach allows full exploitation of the potential of local energy generation and storage to reduce the individual user energy consumption costs, while complying with the customer energy needs. © 2014 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M. & Cavone, G. (2014) A timed Petri nets model for intermodal freight transport terminals IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 176-181.
    [Bibtex]
    @CONFERENCE{Dotoli2014176,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Cavone, G.},
    title={A timed Petri nets model for intermodal freight transport terminals},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2014},
    volume={9},
    number={3},
    pages={176-181},
    doi={10.3182/20140514-3-FR-4046.00038},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945963822&doi=10.3182%2f20140514-3-FR-4046.00038&partnerID=40&md5=12d63035451f5fdd5d932509425ee237},
    affiliation={Dept. of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy; Dept. of Mathematics, Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy},
    abstract={This paper presents a general modelling framework for intermodal freight transport terminals. The model allows evaluating the operational performance of such transportation systems, assessing the efficiency level of the terminal and identifying its bottlenecks by suitable performance indices. Moreover, it allows evaluating different solutions to the identified criticalities. The proposed framework is modular and based on timed Petri nets: places represent resources and capacities or conditions, transitions model inputs, flows and activities into the terminal, and tokens are intermodal transport units or the means on which they are transported. A simulation of a case study shows the model effectiveness. © IFAC.},
    author_keywords={Discrete event systems; Intermodal transport; Modelling; Simulation; Timed Petri nets},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Piconese, A., Bourdeaud’Huy, T., Dotoli, M. & Hammadi, S. (2014) A revisited model for the real time traffic management IN ICORES 2014 – Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems., 139-150.
    [Bibtex]
    @CONFERENCE{Piconese2014139,
    author={Piconese, A. and Bourdeaud'Huy, T. and Dotoli, M. and Hammadi, S.},
    title={A revisited model for the real time traffic management},
    journal={ICORES 2014 - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems},
    year={2014},
    pages={139-150},
    doi={10.5220/0004869701390150},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902323935&doi=10.5220%2f0004869701390150&partnerID=40&md5=b88d465e7539a31f982d85adced9347d},
    affiliation={DEE, Department of Electrical Engineering and Information Science, Politecnico di Bari, Bari, Italy; LAGIS, Laboratoire D'Automatique Génie Informatique et Signal, École Centrale de Lille, Lille, France},
    abstract={The real-time trafficmanagement allow to solve unexpected disturbances that occur along a railway line during the normal developement of the traffic. The original timetable is restored through the rescheduling process. Despite the increase of real-time decision support tools for trains dispatchers that enable a better use of rail infrastructure, real-time traffic management received a limited scientific attention. In this paper, we deal with the real time traffic management for regional railway networks, mainly single tracks, in which a centralized traffic control system is installed. The rescheduling problem is presented as a Mixed Integer Linear Programming Model which resolution allows to carry out the rescheduling process in a very short computational time. Copyright © 2014 SCITEPRESS.},
    author_keywords={Centralized traffic control; Linear programming; Railway systems; Real-time optimization; Regional networks; Single-track},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Sciancalepore, F. & Costantino, N. (2014) A Nash equilibrium simulation model for the competitiveness evaluation of the auction based day ahead electricity market. IN Computers in Industry, 65.774-785.
    [Bibtex]
    @ARTICLE{Dotoli2014774,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Sciancalepore, F. and Costantino, N.},
    title={A Nash equilibrium simulation model for the competitiveness evaluation of the auction based day ahead electricity market},
    journal={Computers in Industry},
    year={2014},
    volume={65},
    number={4},
    pages={774-785},
    doi={10.1016/j.compind.2014.02.014},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897413926&doi=10.1016%2fj.compind.2014.02.014&partnerID=40&md5=d05586a0a1e5f5199249321a07505bc7},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Italy; Department of Mathematics, Mechanics and Management Engineering, Polytechnic of Bari, Italy},
    abstract={This paper presents a simulation model based on the Nash equilibrium notion for the auction based day ahead electricity generation market. The presented model enhances a previous formalism proposed in the related literature by employing empirical data distributions of the market clearing price as registered by the market authority (e.g. the Independent System Operator). The model is effective when power suppliers with different generation capacities are considered, differently from the starting model that unrealistically assumes equal capacities. The proposed approach aims at evaluating the electricity market competitiveness with regard to the bidder strategies in order to prevent their anticompetitive actions. The framework is applied to a real data set regarding the Italian electricity market to enlighten its effectiveness in different scenarios, varying the number and capacity of participating bidders. The model can be employed as a basis for a decision support tool both for market participants (to define their optimal bidding strategy) and regulators (to avoid collusive strategies). © 2014 Elsevier B.V.},
    author_keywords={Competitiveness; Electricity generation market; Market dynamics; Modelling; Nash equilibrium; Simulation},
    document_type={Article},
    source={Scopus},
    }

2013

  • [DOI] Dassisti, M., Dotoli, M. & Chen, D. (2013) Interoperability analysis: General concepts for an axiomatic approach IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA..
    [Bibtex]
    @CONFERENCE{Dassisti2013,
    author={Dassisti, M. and Dotoli, M. and Chen, D.},
    title={Interoperability analysis: General concepts for an axiomatic approach},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2013},
    doi={10.1109/ETFA.2013.6648169},
    art_number={6648169},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890751533&doi=10.1109%2fETFA.2013.6648169&partnerID=40&md5=d78c6370027430a4085515afb0068181},
    affiliation={Department of Mechanics, Mathematics and Management, Politecnico di Bari, Italy; Department of Information and Electrical Engineering, Politecnico di Bari, Italy; Laboratoire de l'Intégration du Matériau Au Système, Univ. Bordeaux 1, France},
    abstract={The paper provides general criteria and evidences for the design phase of an interoperable enterprise system. The analysis of interoperability is introduced, to characterize features and criticalities for the subsequent design actions to be undertaken. An axiomatic approach is proposed to this aim, providing general principles to be followed. A simple case study is discussed. © 2013 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M. & Costantino, N. (2013) A lean warehousing integrated approach: A case study IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA..
    [Bibtex]
    @CONFERENCE{Dotoli2013,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Costantino, N.},
    title={A lean warehousing integrated approach: A case study},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2013},
    doi={10.1109/ETFA.2013.6648030},
    art_number={6648030},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890747024&doi=10.1109%2fETFA.2013.6648030&partnerID=40&md5=f13085b97bcc615f313821862675c0ce},
    affiliation={Department of Information and Electrical Engineering, Politecnico di Bari, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Italy},
    abstract={This paper focuses on reengineering of production warehouses with lean manufacturing. Using as a case study an Italian interior design producer, we present an integrated approach for lean warehousing. Firstly a detailed description of the warehouse logistics is provided by the Unified Modeling Language (UML), hence Value Stream Mapping (VSM) allows identifying non-value adding activities, and the Gemba Shikumi technique helps to rank such anomalies. The reapplication of VSM produces an overall picture of the optimized warehouse, and using UML we detail the reengineered warehouse processes. The approach represents a useful tool to systematically improve production warehouse management. © 2013 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Palma, D. & Turchiano, B. (2013) A train load planning optimization model for intermodal freight transport terminals: A case study IN Proceedings – 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 3597-3602.
    [Bibtex]
    @CONFERENCE{Dotoli20133597,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Palma, D. and Turchiano, B.},
    title={A train load planning optimization model for intermodal freight transport terminals: A case study},
    journal={Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013},
    year={2013},
    pages={3597-3602},
    doi={10.1109/SMC.2013.613},
    art_number={6722366},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893630792&doi=10.1109%2fSMC.2013.613&partnerID=40&md5=6f33f8006bb4631e581bf192e55b9724},
    affiliation={Department of Information and Electrical Engineering, Politecnico di Bari, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Italy},
    abstract={Despite the emerging positive trend of rail freight transport, especially in intermodal contexts, the optimization of intermodal terminals is addressed only by few studies and mainly for seaport terminals. This paper fills this gap presenting a train load1 planning optimization model for intermodal rail-road terminals. The proposed model maximizes the train commercial value while respecting priority, physical, financial, and prosecution constraints (i.e., taking into account containers that prosecute to a subsequent terminal after the train destination). The presented method has been successfully tested on a real case study - The rail-road terminal of an Italian intermodal logistics company that is a leader in the European market - showing its effectiveness and ease of application. © 2013 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Carli, R., Dotoli, M., Pellegrino, R. & Ranieri, L. (2013) Measuring and managing the smartness of cities: A framework for classifying performance indicators IN Proceedings – 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 1288-1293.
    [Bibtex]
    @CONFERENCE{Carli20131288,
    author={Carli, R. and Dotoli, M. and Pellegrino, R. and Ranieri, L.},
    title={Measuring and managing the smartness of cities: A framework for classifying performance indicators},
    journal={Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013},
    year={2013},
    pages={1288-1293},
    doi={10.1109/SMC.2013.223},
    art_number={6721976},
    note={cited By 67},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893629343&doi=10.1109%2fSMC.2013.223&partnerID=40&md5=2e7a1d0751ad2b7391780dc51c8b26b0},
    affiliation={Electrical and Information Engineering Dept., Politecnico di Bari, Italy; Dept. of Mechanics Mathematics and Management, Politecnico di Bari, Italy; Engineering Department, Universita del Salento, Italy},
    abstract={Due to the continuous increase of the world population living in cities, it is crucial to identify strategic plans and perform associated actions to make cities smarter, i.e., more operationally efficient, socially friendly, and environmentally sustainable, in a cost effective manner. To achieve these goals, emerging smart cities need to be optimally and intelligently measured, monitored, and managed. In this context the paper proposes the development of a framework for classifying performance indicators of a smart city. It is based on two dimensions: The degree of objectivity of observed variables and the level of technological advancement for data collection. The paper shows an application of the presented framework to the case of the Bari municipality (Italy). © 2013 IEEE.},
    author_keywords={Information and communication technologies; Management; Monitoring; Smart cities; Smartness indicators},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Epicoco, N., Falagario, M. & Sciancalepore, F. (2013) Using cross-efficiency fuzzy Data Envelopment Analysis for healthcare facilities performance evaluation under uncertainty IN Proceedings – 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 912-917.
    [Bibtex]
    @CONFERENCE{Costantino2013912,
    author={Costantino, N. and Dotoli, M. and Epicoco, N. and Falagario, M. and Sciancalepore, F.},
    title={Using cross-efficiency fuzzy Data Envelopment Analysis for healthcare facilities performance evaluation under uncertainty},
    journal={Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013},
    year={2013},
    pages={912-917},
    doi={10.1109/SMC.2013.160},
    art_number={6721913},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893537583&doi=10.1109%2fSMC.2013.160&partnerID=40&md5=c8c238d8356ba6d8cbe50e98c573a3c4},
    affiliation={Department of Information and Electrical Engineering, Politecnico di Bari, Italy; Department of Mechanics, Mathematics and Management, Politecnico di Bari, Italy},
    abstract={address the problem of healthcare systems performance evaluation under uncertainty by a cross-efficiency fuzzy Data Envelopment Analysis (DEA) technique. Triangular fuzzy numbers are employed to deal with uncertain data. More precisely, a fuzzy triangular efficiency is associated to each hospital/ward through a cross-evaluation by a compromise between objectives. Results are defuzzified to obtain the ranking. The method is applied to evaluate hospitals in a region of Southern Italy and estimate the temporal evolution of the performance of one of them, showing the ease of application and usefulness in validating and planning healthcare reforms. © 2013 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Epicoco, N., Falagario, M., Piconese, A., Sciancalepore, F. & Turchiano, B. (2013) A real time traffic management model for regional railway networks under disturbances IN IEEE International Conference on Automation Science and Engineering., 892-897.
    [Bibtex]
    @CONFERENCE{Dotoli2013892,
    author={Dotoli, M. and Epicoco, N. and Falagario, M. and Piconese, A. and Sciancalepore, F. and Turchiano, B.},
    title={A real time traffic management model for regional railway networks under disturbances},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2013},
    pages={892-897},
    doi={10.1109/CoASE.2013.6653977},
    art_number={6653977},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891508996&doi=10.1109%2fCoASE.2013.6653977&partnerID=40&md5=10f312c662a1b1efe1bca6fbc2462d33},
    affiliation={Department of Electrical Engineering and Information Science, Politecnico di Bari, Bari, Italy; Department of Mechanical Engineering, Mathematics and Management, Politecnico di Bari, Bari, Italy},
    abstract={We address real time traffic management under disturbances of regional rails with a centralized traffic control system. We solve the rescheduling problem by revisiting a finite time horizon mixed integer linear programming model from the related literature. First, we adapt the framework to regional networks, in which stations are close and the network is mainly constituted by single tracks; second, to solve train conflicts that may occur in the rescheduled timetable after the chosen time horizon, we enhance the model by an iterative heuristic algorithm that solves such conflicts. The presented approach is applied to a real data set related to a large portion of a regional network in Southern Italy, showing its effectiveness in providing a physically realizable rescheduled solution in a very short computational time. © 2013 IEEE.},
    author_keywords={events; optimization; Railways; real time conflict resolution; regional networks; train scheduling; train timetable},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Fanti, M. P., Mangini, A. M., Dotoli, M. & Ukovich, W. (2013) A three-level strategy for the design and performance evaluation of hospital departments. IN IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 43.742-756.
    [Bibtex]
    @ARTICLE{Fanti2013742,
    author={Fanti, M.P. and Mangini, A.M. and Dotoli, M. and Ukovich, W.},
    title={A three-level strategy for the design and performance evaluation of hospital departments},
    journal={IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans},
    year={2013},
    volume={43},
    number={4},
    pages={742-756},
    doi={10.1109/TSMCA.2012.2217319},
    note={cited By 45},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887038165&doi=10.1109%2fTSMCA.2012.2217319&partnerID=40&md5=af8a84aa963d24f0c3b58a21a6606eef},
    affiliation={Department of Electrical and Electronics Engineering, Polytechnic of Bari, 70125 Bari, Italy; Department of Industrial Engineering and Information Technology (DI3), University of Trieste, 34127 Trieste, Italy; Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy},
    abstract={The efficient management of hospital departments (HDs) has recently become an important issue. Indeed, the increased demand and design for hospital services have saturated the capacity of HD that requires suitable tools for the efficient use of resources and flow of patients, staff, and drugs. This paper proposes a model based on a three-level strategy to design at the tactical level in a concise and effective way the structure, the resources, and the dynamics of a critically congested HD. The design strategy is composed of three basic elements: the modeling module, the optimization module, and the simulation and decision module. The first module employs a UnifiedModeling Language tool and a timed Petri net (PN) model to effectively capture the detailed flow and dynamics of patients, starting from their arrival to the HD until their discharge. The optimization module employs the fluid relaxation to concisely approximate in a continuous PN framework the HD model and optimize suitable performance indices. The simulation module verifies that the optimized parameters allow an effective workflow organization while maximizing the patient flow. In case of inconsistencies due to the fluid approximation between the continuous model used in the design phase by the optimization module and the discrete one used in the subsequent verification phase by the simulation module, the latter module revises the values of some HD model parameters. A real case study on the Emergency Cardiology Department of the General Hospital of Bari (Italy) shows the efficiency and accuracy of the proposed method. © 2013 IEEE.},
    author_keywords={Healthcare systems; Modeling; Performance evaluation; Petri nets (PNs); Simulation},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P., Mangini, A. M., Sciancalepore, F. & Ukovich, W. (2013) A hierarchical optimization technique for the strategic design of distribution networks. IN Computers and Industrial Engineering, 66.849-864.
    [Bibtex]
    @ARTICLE{Costantino2013849,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Mangini, A.M. and Sciancalepore, F. and Ukovich, W.},
    title={A hierarchical optimization technique for the strategic design of distribution networks},
    journal={Computers and Industrial Engineering},
    year={2013},
    volume={66},
    number={4},
    pages={849-864},
    doi={10.1016/j.cie.2013.09.009},
    note={cited By 15},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888288538&doi=10.1016%2fj.cie.2013.09.009&partnerID=40&md5=187777eb599e31cf44e2b5af060c6ecd},
    affiliation={Dept. of Mechanical and Management Engineering, Polytechnic of Bari, Italy; Department of Elettrotecnica Ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy; Dept. of Industrial Engineering and Information Technology, University of Trieste, Italy},
    abstract={The paper addresses the optimal design of the last supply chain branch, i.e., the Distribution Network (DN), starting from manufacturers till the retailers. It considers a distributed system composed of different stages connected by material links labeled with suitable performance indices. A hierarchical procedure employing direct graph (digraph) modeling, mixed integer linear programming, and the Analytic Hierarchy Process (AHP) is presented to select the optimal DN configuration. More in detail, a first-level DN optimization problem taking into account the definition and evaluation of the distribution chain performance provides a set of Pareto optimal solutions defined by digraph modeling. A second level DN optimization using the AHP method selects, on the basis of further criteria, the DN configuration from the Pareto face alternatives. To show the method effectiveness, the optimization model is applied to a case study describing an Italian regional healthcare drug DN. The problem solution by the proposed design method allows improving the DN flexibility and performance. © 2013 Elsevier Ltd. All rights reserved.},
    author_keywords={Analytic hierarchy process; Digraph modeling; Distribution network; Mixed integer linear programming; Optimization; Supply chain},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Sciancalepore, F., Epicoco, N., Falagario, M., Turchiano, B. & Costantino, N. (2013) A periodic event scheduling approach for offline timetable optimization of regional railways IN 2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013., 849-854.
    [Bibtex]
    @CONFERENCE{Dotoli2013849,
    author={Dotoli, M. and Sciancalepore, F. and Epicoco, N. and Falagario, M. and Turchiano, B. and Costantino, N.},
    title={A periodic event scheduling approach for offline timetable optimization of regional railways},
    journal={2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013},
    year={2013},
    pages={849-854},
    doi={10.1109/ICNSC.2013.6548849},
    art_number={6548849},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881269306&doi=10.1109%2fICNSC.2013.6548849&partnerID=40&md5=e184d97b5e9540259e36989575a8073c},
    affiliation={Electrical and Information Engineering Department, Politecnico di Bari, Bari, Italy; Mechanical Eng., Mathematics and Management Dept., Politecnico di Bari, Bari, Italy},
    abstract={We address the train timetabling problem for regional rails by a cyclic scheduling approach. We revisit a mixed integer linear programming model for offline timetable optimization and enhance it using a discrete event formulation and taking into account single-track stations that typically characterize local rails. The model can be applied to regional railways that are increasingly gaining significance due to the social pressure for sustainable mobility. The approach is successfully applied to a large portion of a real Southern Italy railway network, obtaining a timetable that enhances the passengers service level. © 2013 IEEE.},
    author_keywords={events; management; optimization; Railways; regional networks; scheduling algorithms; train timetable},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Hammadi, S., Jeribi, K., Russo, C. & Zgaya, H. (2013) A multi-agent Decision Support System for optimization of co-modal transportation route planning services IN Proceedings of the IEEE Conference on Decision and Control., 911-916.
    [Bibtex]
    @CONFERENCE{Dotoli2013911,
    author={Dotoli, M. and Hammadi, S. and Jeribi, K. and Russo, C. and Zgaya, H.},
    title={A multi-agent Decision Support System for optimization of co-modal transportation route planning services},
    journal={Proceedings of the IEEE Conference on Decision and Control},
    year={2013},
    pages={911-916},
    doi={10.1109/CDC.2013.6759998},
    art_number={6759998},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902324424&doi=10.1109%2fCDC.2013.6759998&partnerID=40&md5=e506e71d6e9b41c8f5512862f40db5ec},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy; Ecole Centrale de Lille, Lille, France; Université Lille 2 (ILIS), Lille, France},
    abstract={We present a Decision Support System (DSS) for co-modal transportation. The DSS answers multiple route planning requests in a co-modal setting with vehicle preference and conflicting criteria, e.g., costs, time, and gas emissions minimization. The DSS architecture is based on the inherently distributed multi-agent systems framework that allows the decomposition of the route planning problem into multiple simpler tasks. A genetic algorithm is employed to obtain the optimal user-vehicle-route combinations according to the users preferences. The DSS is tested simulating itinerary requests with conflicting preferences in Nord Pas de Calais (France). © 2013 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }

2012

  • [DOI] Costantino, N., Dotoli, M., Epicoco, N., Falagario, M. & Sciancalepore, F. (2012) A cross efficiency fuzzy data envelopment analysis technique for supplier evaluation under uncertainty IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA..
    [Bibtex]
    @CONFERENCE{Costantino2012,
    author={Costantino, N. and Dotoli, M. and Epicoco, N. and Falagario, M. and Sciancalepore, F.},
    title={A cross efficiency fuzzy data envelopment analysis technique for supplier evaluation under uncertainty},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2012},
    doi={10.1109/ETFA.2012.6489600},
    art_number={6489600},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876391183&doi=10.1109%2fETFA.2012.6489600&partnerID=40&md5=b3dd1395d6852890b4f3d746d87b1632},
    affiliation={Department of Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy; Department of Electrotechnics and Electronics, Politecnico di Bari, Bari, Italy},
    abstract={We present a novel cross efficiency fuzzy Data Envelopment Analysis (DEA) technique for supplier selection under uncertainty. In order to deal with uncertain input and output suppliers data, triangular fuzzy numbers are employed. A fuzzy triangular efficiency is associated to each supplier through a cross evaluation by a compromise between objectives. The results are defuzzified and a supplier ranking is determined. The method is applied to the evaluation of a set of candidate suppliers of an Italian SME, showing the ease of application and discriminative power among suppliers. © 2012 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Cabasino, M. P., Dotoli, M. & Seatzu, C. (2012) Marking estimation of fuzzy Petri nets IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA..
    [Bibtex]
    @CONFERENCE{Cabasino2012,
    author={Cabasino, M.P. and Dotoli, M. and Seatzu, C.},
    title={Marking estimation of fuzzy Petri nets},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2012},
    doi={10.1109/ETFA.2012.6489737},
    art_number={6489737},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876358726&doi=10.1109%2fETFA.2012.6489737&partnerID=40&md5=8dfebfd27061e28bf211aaa621c20559},
    affiliation={Dep. of Electrical and Electronic Eng., Univ. of Cagliari, Italy; Dep. of Electrical and Electronic Eng., Polyt. of Bari, Italy},
    abstract={In this paper we deal with the problem of designing an observer for Petri nets under the assumption that all transitions may be observed but there exist some uncertainties in the initial marking. In particular, the information on the initial marking is given in terms of fuzzy markings by associating a discrete membership function with each place. Some ideas on how to extend the proposed approach to the case of unobservable transitions are also discussed. © 2012 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Bevilacqua, V., Costantino, N., Dotoli, M., Falagario, M. & Sciancalepore, F. (2012) Strategic design and multi-objective optimisation of distribution networks based on genetic algorithms. IN International Journal of Computer Integrated Manufacturing, 25.1139-1150.
    [Bibtex]
    @ARTICLE{Bevilacqua20121139,
    author={Bevilacqua, V. and Costantino, N. and Dotoli, M. and Falagario, M. and Sciancalepore, F.},
    title={Strategic design and multi-objective optimisation of distribution networks based on genetic algorithms},
    journal={International Journal of Computer Integrated Manufacturing},
    year={2012},
    volume={25},
    number={12},
    pages={1139-1150},
    doi={10.1080/0951192X.2012.684719},
    note={cited By 19},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875891154&doi=10.1080%2f0951192X.2012.684719&partnerID=40&md5=93f7eb805aa3693cb435b50e08437218},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy; Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Via Japigia 182, 70126 Bari, Italy},
    abstract={The paper addresses the optimal design of distribution networks (DNs). Considering a distributed system composed of stages connected by material links labelled with suitable performance indices, a procedure employing multiobjective genetic algorithms (MOGAs) is presented to select the optimal DN configuration. The paper enhances a deterministic procedure for DN strategic configuration by employing MOGACOP, a real-valued chromosome MOGA that can be applied to the case of constrained nonlinear function. The main MOGA characteristics are the presence of three populations: two reference sets of individuals satisfying all constraints, namely, a set of Pareto optimal individuals (frontier population) and a set of individuals covering the previous population (archive population), together with a search set which, on the contrary, includes individuals that are allowed to not satisfy all constraints (laboratory population). MOGACOP allows solving the DN design nonlinear problem, which exhibits a multi-objective function that varies linearly only with some variables and nonlinearly with the remaining variables. The proposed MOGA application allows finding a Pareto frontier of optimal solutions, which is compared with the frontier obtained by solving the same problem with Integer Linear Programming (ILP), where piecewise constant contributions are linearly approximated. The two found curves represent, respectively, the upper and the lower limit of the region including the real Pareto curve. Both the genetic optimisation and the ILP models are applied under structural constraints to a case study describing the distribution chain of a large enterprise of southern Italy producing consumer goods. © 2012 Taylor & Francis.},
    author_keywords={Distribution network; Integer linear programming; Multi-objective genetic algorithms; Optimisation; Supply chain},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dassisti, M., Dotoli, M., Epicoco, N. & Falagario, M. (2012) Internal logistics integration by automated storage and retrieval systems: A reengineering case study. IN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7567 LNCS.78-82.
    [Bibtex]
    @ARTICLE{Dassisti201278,
    author={Dassisti, M. and Dotoli, M. and Epicoco, N. and Falagario, M.},
    title={Internal logistics integration by automated storage and retrieval systems: A reengineering case study},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2012},
    volume={7567 LNCS},
    pages={78-82},
    doi={10.1007/978-3-642-33618-8_14},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873872454&doi=10.1007%2f978-3-642-33618-8_14&partnerID=40&md5=3274b476c3d73d1c0f5c5b77a0a548b7},
    affiliation={Dip. di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Viale Japigia 182, Bari 70126, Italy; Dip. di Elettrotecnica Ed Elettronica, Politecnico di Bari, Via Re David 200, Bari 70125, Italy},
    abstract={Nowadays, factors like globalization, productivity, and reduction of time-to-market make the impact of logistics on production by far wider than in the past. Such a complex scenario originated considerable interest for the design, planning and control of warehousing systems as new research topics (De Koster et al. 2007). However, in spite of the importance of warehouse design and management, authors agree on the lack of systematic approaches (Baker and Canessa, 2009). Moreover, the existing contributions do not typically consider the problem of warehouse design in a continuous improvement context. On the contrary, with the enhanced customer demand, for most manufacturing industries it has become increasingly important to continuously monitor and progress the internal logistics. This paper presents a preliminary study for the reengineering of the logistics in a Southern Italy firm producing shoes and accessories based on formal modeling. We address a widely used solution for warehouse material handling, i.e., Automated Storage and Retrieval Systems (AS/RSs) (Dotoli and Fanti 2007). These systems are a combination of automatic material handling and storage/retrieval equipments characterized by high accuracy and speed. In order to reengineer the logistic system, a Unified Modelling Language (UML) (Miles and Hamilton, 2006) model is adopted (Dassisti, 2003). © 2012 Springer-Verlag.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Epicoco, N., Falagario, M. & Sciancalepore, F. (2012) A novel fuzzy Data Envelopment Analysis methodology for performance evaluation in a two-stage supply chain IN IEEE International Conference on Automation Science and Engineering., 974-979.
    [Bibtex]
    @CONFERENCE{Costantino2012974,
    author={Costantino, N. and Dotoli, M. and Epicoco, N. and Falagario, M. and Sciancalepore, F.},
    title={A novel fuzzy Data Envelopment Analysis methodology for performance evaluation in a two-stage supply chain},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2012},
    pages={974-979},
    doi={10.1109/CoASE.2012.6386424},
    art_number={6386424},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872577763&doi=10.1109%2fCoASE.2012.6386424&partnerID=40&md5=b2827d406d9283b494377059cae5d3fe},
    affiliation={Department of Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy; Department of Electrotechnics and Electronics, Politecnico di Bari, Bari, Italy},
    abstract={The paper presents a novel fuzzy Data Envelopment Analysis (DEA) technique for supplier selection under uncertainty. Uncertain input and output data characterizing suppliers are estimated through triangular fuzzy numbers. The resulting fuzzy triangular efficiency is determined by using only a set of weights, derived as a compromise between objectives. The obtained results are defuzzified and compared in order to rank suppliers. The presented method is applied for the evaluation of a set of candidate suppliers of an SME located in Southern Italy, showing the ease of application and the discriminative power between different suppliers under uncertain data. © 2012 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Iacobellis, G. & Rotunno, G. (2012) A lean manufacturing strategy using Value Stream Mapping, the Unified Modeling Language, and discrete event simulation IN IEEE International Conference on Automation Science and Engineering., 668-673.
    [Bibtex]
    @CONFERENCE{Dotoli2012668,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Rotunno, G.},
    title={A lean manufacturing strategy using Value Stream Mapping, the Unified Modeling Language, and discrete event simulation},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2012},
    pages={668-673},
    doi={10.1109/CoASE.2012.6386328},
    art_number={6386328},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872560932&doi=10.1109%2fCoASE.2012.6386328&partnerID=40&md5=e264657a36d4ce9dffa794bb01d51baa},
    affiliation={Department of Elettrotecnica Ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={The paper presents a lean manufacturing strategy integrating Value Stream Mapping (VSM), the Unified Modeling Language (UML), and discrete event simulation. The procedure is iterative and hierarchical. Starting from a detailed description of the manufacturing process by the Unified Modeling Language (UML), the VSM graphical approach allows the identification and removal of non-value adding activities. The re-designed manufacturing system is represented in detail by UML to describe the novel system activities. The use of discrete event simulation allows the verification of the updated production system. Applying the lean manufacturing strategy to a real case study shows its effectiveness. © 2012 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M. & Sciancalepore, F. (2012) Balancing the additional costs of purchasing and the vendor set dimension to reduce public procurement costs. IN Journal of Purchasing and Supply Management, 18.189-198.
    [Bibtex]
    @ARTICLE{Costantino2012189,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Sciancalepore, F.},
    title={Balancing the additional costs of purchasing and the vendor set dimension to reduce public procurement costs},
    journal={Journal of Purchasing and Supply Management},
    year={2012},
    volume={18},
    number={3},
    pages={189-198},
    doi={10.1016/j.pursup.2012.08.001},
    note={cited By 22},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870475495&doi=10.1016%2fj.pursup.2012.08.001&partnerID=40&md5=23cde4dd3b96e37858b9a0a3e6661e65},
    affiliation={Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy},
    abstract={The paper addresses the reduction of the total cost of purchasing in public procurement, focusing on tenders called for in the European Union and awarded by the Lowest Price (LP) criterion. Taking into account the main characteristic features of governmental purchasing (competition, prescribed procedures, and transparency) and building upon the related contributions in the literature, we present a probabilistic approach for evaluating and limiting the total cost of purchasing in public tenders awarded according to the LP criterion. The presented framework includes the evaluation of the so-called additional costs of purchasing (ACP), a part of the transaction cost that is typically considered in the related literature from a private organization perspective only. The approach can be applied to a generic transaction in any public tender issued according to the European legislation with the LP criterion. Considering the real case study of the public tender for maintenance works on a municipal sport facility in Bari (Italy), we take into account the costs of both transaction counterparts, i.e., the ACP regarding the contracting authority and those related to the firms involved in the tender. Applying the model to the case study, we underline the relevance of ACP for public tenders and show that, by inviting a suitable number of bidders to participate in the call, it is possible to save money both for the contracting authority and the involved competitors. © 2012 Elsevier Ltd.},
    author_keywords={Additional costs of purchasing; Public procurement; Supplier selection; Tendering costs},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Bevilacqua, V., Dotoli, M., Foglia, M. M., Acciani, F., Tattoli, G. & Valori, M. (2012) Using artificial neural networks for closed loop control of a hydraulic prosthesis for a human elbow. IN Communications in Computer and Information Science, 304 CCIS.475-480.
    [Bibtex]
    @ARTICLE{Bevilacqua2012475,
    author={Bevilacqua, V. and Dotoli, M. and Foglia, M.M. and Acciani, F. and Tattoli, G. and Valori, M.},
    title={Using artificial neural networks for closed loop control of a hydraulic prosthesis for a human elbow},
    journal={Communications in Computer and Information Science},
    year={2012},
    volume={304 CCIS},
    pages={475-480},
    doi={10.1007/978-3-642-31837-5_69},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865034262&doi=10.1007%2f978-3-642-31837-5_69&partnerID=40&md5=e09af309dbd3fa7d0b330e6acb189f23},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Italy; Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Italy},
    abstract={We address control of a hydraulic prosthesis for human elbow, a problem in which it is essential to obtain quick simulation results to appreciate the system dynamic. The forward kinematics problem for a prosthesis developed at Politecnico di Bari is solved using artificial neural networks as an effective and simple method to solve the problem in real time and limit computations. We show the method effectiveness designing two PID regulators that control the arm thanks to the neural computation of the forward kinematics. © 2012 Springer-Verlag.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Falagario, M. (2012) A hierarchical model for optimal supplier selection in multiple sourcing contexts. IN International Journal of Production Research, 50.2953-2967.
    [Bibtex]
    @ARTICLE{Dotoli20122953,
    author={Dotoli, M. and Falagario, M.},
    title={A hierarchical model for optimal supplier selection in multiple sourcing contexts},
    journal={International Journal of Production Research},
    year={2012},
    volume={50},
    number={11},
    pages={2953-2967},
    doi={10.1080/00207543.2011.578167},
    note={cited By 44},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862706058&doi=10.1080%2f00207543.2011.578167&partnerID=40&md5=95c1c1570c66b58f6c2854505ff406f1},
    affiliation={Politecnico di Bari, Dipartimento di Elettrotecnica Ed Elettronica, Via Re David 200, 70125 Bari, Italy; Politecnico di Bari, Dipartimento di Ingegneria Meccanica e Gestionale, Via Japigia 182, 70126 Bari, Italy},
    abstract={This paper addresses a crucial objective of the strategic purchasing function in supply chains, i.e. optimal supplier selection. We present a hierarchical extension of the data envelopment analysis (DEA), the most widespread method for supplier rating in the literature, for application in a multiple sourcing strategy context. The proposed hierarchical technique is based on three levels. First, a modified DEA approach is used to evaluate the efficiency of each supplier according to some criteria proposed by the buyer. Second, the well known technique for order preference by similarities to ideal solution (TOPSIS) is applied to rank the maximally efficient suppliers given by the previous step. Third and finally, a linear programming problem is stated and solved to find the quantities to order from each maximally efficient supplier in the multiple sourcing context. The presented approach is able to straightforwardly discern between efficient and inefficient partners, avoid the confusion between efficient and effective suppliers and split the supply in a multiple sourcing context. The hierarchical model is applied to the supply of a C class component to show its robustness and effectiveness, while comparing it with the DEA and TOPSIS approaches. © 2012 Copyright Taylor and Francis Group, LLC.},
    author_keywords={data envelopment analysis; linear programming; optimal supplier selection; supplier efficiency; supplier evaluation; supply chain; technique for order preference by similarities to ideal solution},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M. & Sciancalepore, F. (2012) Fuzzy network design of sustainable supply chains IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 1284-1289.
    [Bibtex]
    @CONFERENCE{Costantino20121284,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Sciancalepore, F.},
    title={Fuzzy network design of sustainable supply chains},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2012},
    volume={14},
    number={PART 1},
    pages={1284-1289},
    doi={10.3182/20120523-3-RO-2023.00154},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866110328&doi=10.3182%2f20120523-3-RO-2023.00154&partnerID=40&md5=3acc286409d444bed5636977aac0cdef},
    affiliation={Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Bari, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={The paper focuses on supply chain network design under uncertain conditions. In order to achieve a sustainable supply chain configuration, suitable indices such as CO2 emissions and energy consumption are considered. Uncertainty in such performance is addressed by a fuzzy possibility theory approach. In particular, this paper presents a technique employing fuzzy integer linear programming to design the optimally efficient and sustainable supply chain network. Closed loop solutions with reverse logistics are compared with traditional forward supply chain structures in order to obtain improved sustainability performance. A case study inspired from the related literature is presented to show the technique effectiveness. © 2012 IFAC.},
    author_keywords={Fuzzy integer linear programming; Network design; Supply chain; Sustainability},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. (2012) Freeway traffic control via route guidance: An approach based on a First Order Hybrid Petri Nets model IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 350-355.
    [Bibtex]
    @CONFERENCE{Dotoli2012350,
    author={Dotoli, M.},
    title={Freeway traffic control via route guidance: An approach based on a First Order Hybrid Petri Nets model},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2012},
    volume={45},
    number={9},
    pages={350-355},
    doi={10.3182/20120606-3-NL-3011.00065},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866054742&doi=10.3182%2f20120606-3-NL-3011.00065&partnerID=40&md5=6646e62367508b087dd4c42831edaa42},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={The paper proposes an approach for real time control of freeways by route guidance, an emerging technique for efficient freeway management. A first order fluid approximation is employed to model in a modular framework the vehicle flows by first order hybrid Petri nets. The hybrid Petri nets formalism enables the network designer to choose suitable splitting rates to off-ramps to minimize congestion. The increased freeway operation is performed based on the state knowledge of the obtained linear discrete-time, time-varying state variable model of the freeway to react to unpredictable events such as the blocking of a lane due to an accident or to work in progress. The proposed route guidance approach is applied to a case study to show its effectiveness. © 2012 IFAC.},
    author_keywords={Modeling; Performance evaluation; Petri nets; Road traffic; Simulation; Traffic control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P. & Mangini, A. M. (2012) A model for supply management of agile manufacturing supply chains. IN International Journal of Production Economics, 135.451-457.
    [Bibtex]
    @ARTICLE{Costantino2012451,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Mangini, A.M.},
    title={A model for supply management of agile manufacturing supply chains},
    journal={International Journal of Production Economics},
    year={2012},
    volume={135},
    number={1},
    pages={451-457},
    doi={10.1016/j.ijpe.2011.08.021},
    note={cited By 98},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80055047016&doi=10.1016%2fj.ijpe.2011.08.021&partnerID=40&md5=f210a506728cdb2f214b3087f73c28a0},
    affiliation={Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Italy; Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Italy; Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Via Japigia 182, 70126 Bari, Italy},
    abstract={This paper addresses the configuration problem of Manufacturing Supply Chains (MSC) with reference to the supply planning issue. Assuming that the manufacturing system is composed of different stages, we present a technique for the strategic management of the chain addressing supply planning and allowing the improvement of the MSC agility in terms of ability in reconfiguration to meet performance. More in detail, we enhance a previous design method by some of the authors that employs digraph modeling and integer linear programming to optimally design the MSC. The original approach avoids supply chain disruption and stock out and, at the same time, can manage spare parts distribution. In order to take into account the level of demands and maximum production capacities with single/multiple sourcing, in this new formulation we introduce supplier capacity constraints. A case study is presented describing the optimal MSC configuration of an Italian manufacturing firm. The obtained results show that the design method provides managers with key answers to issues related to the supply chain strategic configuration and agility, e.g., choosing the right location for distributors and retailers for enhanced MSC flexibility and performance. © 2010 Elsevier B.V. All rights reserved.},
    author_keywords={Agile manufacturing; Integer linear programming; Performance optimization; Sourcing strategy; Strategic design; Supply chain; Supply planning},
    document_type={Article},
    source={Scopus},
    }

2011

  • [DOI] Dotoli, M., Fanti, M. P., Rotunno, G. & Ukovich, W. (2011) A lean manufacturing procedure using value stream mapping and the analytic hierarchy process IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 1193-1198.
    [Bibtex]
    @CONFERENCE{Dotoli20111193,
    author={Dotoli, M. and Fanti, M.P. and Rotunno, G. and Ukovich, W.},
    title={A lean manufacturing procedure using value stream mapping and the analytic hierarchy process},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2011},
    pages={1193-1198},
    doi={10.1109/ICSMC.2011.6083860},
    art_number={6083860},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-83755183338&doi=10.1109%2fICSMC.2011.6083860&partnerID=40&md5=843a636531caf0465d157f9126def8b1},
    affiliation={Dept. of Electrical and Electronics Engineering, Politecnico di Bari, Bari, Italy; Dept. of Industrial Engineering and Information Technology, University of Trieste, Trieste, Italy},
    abstract={We present a novel lean manufacturing procedure relying on the Value Stream Mapping (VSM) tool and the Analytic Hierarchy Process (AHP) technique. The procedure is iterative and hierarchical. Starting from a detailed description of the manufacturing process by the Unified Modeling Language (UML), the VSM graphical approach allows the identification of non-value adding activities, and the AHP technique leads to a ranking of such system anomalies. The further application of the VSM tool produces an overall picture of the desired manufacturing system, and the UML framework allows to describe in detail the updated system activities. An application of the procedure to a real case study shows its effectiveness. © 2011 IEEE.},
    author_keywords={Analytic Hierarchy Process; Lean Manufacturing; Unified Modelling Language; Value Stream Mapping},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Iacobellis, G. (2011) A freeway traffic control model by first order hybrid Petri nets IN IEEE International Conference on Automation Science and Engineering., 425-431.
    [Bibtex]
    @CONFERENCE{Dotoli2011425,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G.},
    title={A freeway traffic control model by first order hybrid Petri nets},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2011},
    pages={425-431},
    doi={10.1109/CASE.2011.6042526},
    art_number={6042526},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-82455171715&doi=10.1109%2fCASE.2011.6042526&partnerID=40&md5=0eacc79a854cfd9ea5705a33dd71e12c},
    affiliation={Department of Elettrotecnica Ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={The paper proposes a model for real time control of freeways by ramp metering, an emerging technique for efficient freeway management. A modular framework based on first order hybrid Petri nets models the vehicle flows by a first order fluid approximation. Moreover, the lane interruptions and the signal timing plan controlling on-ramps are described by the discrete event dynamics using timed Petri nets. The proposed formalism enables the network designer to choose suitable ramp metering control signals in order to maximize the traffic flow by optimizing a suitable objective function. The optimal mode of operation is performed based on the state knowledge of the obtained linear discrete-time, time-varying state variable model of the freeway to react to unpredictable events such as the blocking of a lane due to an accident or to work in progress. The proposed model is applied to a case study to show its effectiveness. © 2011 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P., Mangini, A. M., Sciancalepore, F. & Ukovich, W. (2011) A fuzzy programming approach for the strategic design of distribution networks IN IEEE International Conference on Automation Science and Engineering., 66-71.
    [Bibtex]
    @CONFERENCE{Costantino201166,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Mangini, A.M. and Sciancalepore, F. and Ukovich, W.},
    title={A fuzzy programming approach for the strategic design of distribution networks},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2011},
    pages={66-71},
    doi={10.1109/CASE.2011.6042483},
    art_number={6042483},
    note={cited By 17},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-82455162802&doi=10.1109%2fCASE.2011.6042483&partnerID=40&md5=2f1963aa6b253c62377cba9a0b025009},
    affiliation={Department of Mechanics and Management Engineering, Politecnico di Bari, Bari, Italy; Department of Electrotechnics and Electronics, Politecnico di Bari, Bari, Italy; Department of Industrial Engineering and Information Technology, University of Trieste, Trieste, Italy},
    abstract={The paper addresses the optimal design of the last branch of the supply chain, i.e., the Distribution Network (DN). We extend a deterministic optimization model previously proposed by the authors, using fuzzy numbers and fuzzy logic to take into account uncertainty in the DN model and in the DN design. Hence, a procedure employing digraph modeling and fuzzy mixed integer linear programming is presented to select the optimal DN configuration. To show the method effectiveness, the optimization model is applied to a case study. © 2011 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Costantino, N., Dotoli, M., Falagario, M. & Sciancalepore, F. (2011) A model using Data Envelopment Analysis for the cross evaluation of suppliers under uncertainty IN KMIS 2011 – Proceedings of the International Conference on Knowledge Management and Information Sharing., 152-157.
    [Bibtex]
    @CONFERENCE{Costantino2011152,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Sciancalepore, F.},
    title={A model using Data Envelopment Analysis for the cross evaluation of suppliers under uncertainty},
    journal={KMIS 2011 - Proceedings of the International Conference on Knowledge Management and Information Sharing},
    year={2011},
    pages={152-157},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862215445&partnerID=40&md5=9afb90897b8c7deeaf28d4b6f43668b9},
    affiliation={Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Via Re David 200, 70126, Bari, Italy; Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Via Re David 200, 70125, Bari, Italy},
    abstract={The paper addresses one of the key objectives of the purchasing function of a supply chain, i.e., the optimal selection of suppliers. We present a novel methodology that integrates the well-known cross-efficiency evaluation called Data Envelopment Analysis (DEA) and the Monte Carlo approach, to manage supplier selection considering uncertainty in the supply process, e.g. evaluating potential suppliers. The model allows to distinguish among several suppliers, overcoming the limitation of the traditional DEA method of not distinguishing among efficient suppliers. Moreover, the technique is able to classify suppliers with uncertain performance. The method is applied to the selection of suppliers of a Southern Italy SME.},
    author_keywords={Business intelligence; Data Envelopment Analysis; Monte Carlo method; Supplier evaluation; Uncertainty},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Bevilacqua, V., Dotoli, M., Falagario, M., Sciancalepore, F., D’Ambruoso, D., Saladino, S. & Scaramuzzi, R. (2011) A multi-objective genetic optimization technique for the strategic design of distribution networks. IN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6839 LNAI.243-250.
    [Bibtex]
    @ARTICLE{Bevilacqua2011243,
    author={Bevilacqua, V. and Dotoli, M. and Falagario, M. and Sciancalepore, F. and D'Ambruoso, D. and Saladino, S. and Scaramuzzi, R.},
    title={A multi-objective genetic optimization technique for the strategic design of distribution networks},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2011},
    volume={6839 LNAI},
    pages={243-250},
    doi={10.1007/978-3-642-25944-9_32},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855649344&doi=10.1007%2f978-3-642-25944-9_32&partnerID=40&md5=4044f12c0adc8b6feca42442cd2b6d10},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Italy; Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Italy},
    abstract={We address the optimal design of a Distribution Network (DN), presenting a procedure employing Multi-Objective Genetic Algorithms (MOGA) to select the (sub) optimal DN configuration. Using multi-objective genetic optimization allows solving a nonlinear design problem with piecewise constant contributions in addition to linear ones. The MOGA application allows finding a Pareto frontier of (sub) optimal solutions, which is compared with the frontier obtained solving the same problem with linear programming, where piecewise constant contributions are linearly approximated. The two curves represent, respectively, the upper and the lower limit of the region including the real Pareto curve. Both the genetic optimization model and the linear programming are applied under structural constraints to a case study describing the DN of an Italian enterprise. © 2012 Springer-Verlag.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P., Mangini, A. M. & Sciancalepore, F. (2011) Supplier selection in the public procurement sector via a data envelopment analysis approach IN 2011 19th Mediterranean Conference on Control and Automation, MED 2011., 236-241.
    [Bibtex]
    @CONFERENCE{Costantino2011236,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Mangini, A.M. and Sciancalepore, F.},
    title={Supplier selection in the public procurement sector via a data envelopment analysis approach},
    journal={2011 19th Mediterranean Conference on Control and Automation, MED 2011},
    year={2011},
    pages={236-241},
    doi={10.1109/MED.2011.5983149},
    art_number={5983149},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052390458&doi=10.1109%2fMED.2011.5983149&partnerID=40&md5=7c3f328a621048ae0e81f6da20b08372},
    affiliation={Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Italy; Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Italy},
    abstract={The paper deals with the strategic issue of the supplier selection in the public procurement context. We consider the Data Envelopment Analysis (DEA), the most widespread method for supplier selection in the literature for private organizations. We modify the so-called cross-efficiency DEA approach and apply the method to supplier selection in a public tender, taking into account transparency and rating requirements. The presented approach is applied to a real case study in order to evaluate its effectiveness, while discussing it with respect to the cross-efficiency DEA method. © 2011 IEEE.},
    author_keywords={Data Envelopment Analysis; input criteria; output criteria; supplier selection; Supply chains},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Pia Fanti, M., Mangini, A. M. & Ukovich, W. (2011) Identification of the unobservable behaviour of industrial automation systems by Petri nets. IN Control Engineering Practice, 19.958-966.
    [Bibtex]
    @ARTICLE{Dotoli2011958,
    author={Dotoli, M. and Pia Fanti, M. and Mangini, A.M. and Ukovich, W.},
    title={Identification of the unobservable behaviour of industrial automation systems by Petri nets},
    journal={Control Engineering Practice},
    year={2011},
    volume={19},
    number={9},
    pages={958-966},
    doi={10.1016/j.conengprac.2010.09.004},
    note={cited By 36},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960892257&doi=10.1016%2fj.conengprac.2010.09.004&partnerID=40&md5=815e201639c50a3802273cce4a66a803},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy; Dipartimento di Elettrotecnica, Elettronica e Informatica, University of Trieste, Trieste, Italy},
    abstract={This paper addresses the problem of identifying the model of the unobservable behaviour of discrete event systems in the industrial automation sector. Assuming that the fault-free system structure and dynamics are known, the paper proposes an algorithm that monitors the system on-line, storing the occurred observable event sequence and the corresponding reached states. At each event observation, the algorithm checks whether some unobservable events have occurred on the basis of the knowledge of the Petri net (PN) modelling the nominal system behaviour and the knowledge of the current PN marking. By defining and solving some integer linear programming problems, the algorithm decides whether it is necessary to introduce some unobservable (silent) transitions in the PN model and provides a PN structure that is consistent with the observed event string. A case study describing an industrial automation system shows the efficiency and the applicability of the proposed algorithm. © 2010 Elsevier Ltd.},
    author_keywords={Discrete event systems; Identification algorithms; Industrial automation systems; Integer programming; Modelling; Petri nets},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Boschian, V., Dotoli, M., Fanti, M. P., Iacobellis, G. & Ukovich, W. (2011) A metamodeling approach to the management of intermodal transportation networks. IN IEEE Transactions on Automation Science and Engineering, 8.457-469.
    [Bibtex]
    @ARTICLE{Boschian2011457,
    author={Boschian, V. and Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Ukovich, W.},
    title={A metamodeling approach to the management of intermodal transportation networks},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2011},
    volume={8},
    number={3},
    pages={457-469},
    doi={10.1109/TASE.2010.2090870},
    art_number={5667066},
    note={cited By 45},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960116582&doi=10.1109%2fTASE.2010.2090870&partnerID=40&md5=b5a3b21157365d4fe27cdd8291be8c20},
    affiliation={Dipartimento di Elettrotecnica, Elettronica e Informatica, University of Trieste, 34127 Trieste, Italy; Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, 70126 Bari, Italy},
    abstract={The paper specifies an Integrated System (IS) devoted to the management of Intermodal Transportation Networks (ITNs) to take both tactical decisions, i.e., in an offline mode, and operational decisions, i.e., in real-time. Both the resulting IS structures rely on a closed-loop approach that is able to tune the choices with the current system conditions. In either case, the core of the presented IS are a reference model and a simulation module. In particular, the reference model uses information from the real system, obtained by modern Information and Communication Technologies (ICTs) and the simulation module evaluates the impact of the management decisions. In order to obtain a systematic model suitable to describe a generic ITN, the paper proposes a metamodeling approach that describes in a thorough and detailed way the structure and the behavior of ITNs. Moreover, the metamodeling procedure is a top-down technique based on the well-known Unified Modeling Language (UML), a graphic and textual formalism able to describe systems from structural and behavioral viewpoints. In order to show the IS application at the tactical decision level, the paper specifies the IS for an ITN case study that is constituted by the port of Trieste (Italy) and the inland terminal of Gorizia (Italy). The results show how the IS can improve the performance of the ITN by applying ICT tools and information-based services. © 2011 IEEE.},
    author_keywords={Management; modeling; simulation; transportation},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2011) A fault monitor for automated manufacturing systems using a hybrid Petri nets formalism. IN Transactions of the Institute of Measurement and Control, 33.149-167.
    [Bibtex]
    @ARTICLE{Dotoli2011149,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={A fault monitor for automated manufacturing systems using a hybrid Petri nets formalism},
    journal={Transactions of the Institute of Measurement and Control},
    year={2011},
    volume={33},
    number={1},
    pages={149-167},
    doi={10.1177/0142331208095677},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952018267&doi=10.1177%2f0142331208095677&partnerID=40&md5=cd6895ba069c273a8b8dea22e607b34c},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={Fault monitoring is an essential requirement for safety and reliability of industrial systems. The paper presents a novel event-based online monitoring technique for automated manufacturing systems, ensuring timely and accurate detection of system failures. The monitor model is based on first-order hybrid Petri nets, ie, Petri nets that make use of first-order fluid approximation. The proposed fault analysis technique relies on a modular framework, so that elementary monitors can be connected with other monitors to check more complex systems while avoiding the state—space explosion problem. In addition, the presented monitor detects system faults as soon as possible, before the maximum execution time assigned to each task. Several examples and an application to an automated manufacturing system proposed in the related literature enlighten the simplicity and modularity of the technique. © 2011, The Institute of Measurement and Control. All rights reserved.},
    author_keywords={automated manufacturing systems; discrete event systems; fault detection; fault monitoring; hybrid Petri nets},
    document_type={Article},
    source={Scopus},
    }

2010

  • Boschian, V., Dotoli, M., Fanti, M. P., Iacobellis, G. & Ukovich, W. (2010) A metamodelling approach for performance evaluation of intermodal transportation networks. IN European Transport – Trasporti Europei, .100-113.
    [Bibtex]
    @ARTICLE{Boschian2010100,
    author={Boschian, V. and Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Ukovich, W.},
    title={A metamodelling approach for performance evaluation of intermodal transportation networks},
    journal={European Transport - Trasporti Europei},
    year={2010},
    number={46},
    pages={100-113},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960590476&partnerID=40&md5=080eb60a70e81223db1c885881269c8a},
    affiliation={Dept. of Electronics, Electrical, Engineering and Computer Science, University of Trieste, Italy; Dept. of Electrical and Electronics Engineering, Polytechnic of Bari, Italy},
    abstract={The paper proposes a metamodelling procedure devoted to provide a reference model to be used by decision makers in the performance evaluation of Intermodal Transportation Network (ITN). In order to obtain a generic model describing a nonspecific ITN from the structural and behavioural point of view, the metamodelling approach consists in applying a top down and modular procedure. The model is specified by the well known Unified Modelling Language (UML), a graphic and textual modelling formalism intended to describe systems from structural and dynamics viewpoints. Hence, the paper models a generic ITN starting from the network description and shows by a case study the metamodel of one of the most important nodes that compose it: the port subsystem. Moreover, the case study model is translated in a simulation software and the performance measures obtained by the simulation results are shown.},
    author_keywords={Discrete event simulation; Intermodal transportation networks; Modeling; Performance evaluation; Uml},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Boschian, V., Ukovich, W., Dotoli, M., Fanti, M. P. & Iacobellis, G. (2010) A metamodeling technique for managing intermodal transportation networks IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 209-214.
    [Bibtex]
    @CONFERENCE{Boschian2010209,
    author={Boschian, V. and Ukovich, W. and Dotoli, M. and Fanti, M.P. and Iacobellis, G.},
    title={A metamodeling technique for managing intermodal transportation networks},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2010},
    pages={209-214},
    doi={10.1109/ICSMC.2010.5642236},
    art_number={5642236},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751549508&doi=10.1109%2fICSMC.2010.5642236&partnerID=40&md5=b1edf63b1e04ce6b731fd89670d147db},
    affiliation={Dept. of Electrical, Electronic and Computer Engineering, University of Trieste, Trieste, Italy; Dept. of Electrical and Electronics Engineering, Politecnico di Bari, Bari, Italy},
    abstract={The paper specifies an Integrated System (IS) devoted to efficient management and control of Intermodal Transportation Networks (ITN). The IS is designed to take both tactical decisions, in an off-line mode, and operational decisions, in real time. Both the resulting IS structures rely on a closed loop approach tuning decisions with the current system conditions. In either case, the IS core is a reference model using information from the real system, obtained by modern Information and Communication Technologies (ICT) tools, for ITN efficient planning and management purposes. To obtain a systematic model suitable to describing generic ITN, the reference model relies on a metamodeling approach that allows the thorough and detailed description of the ITN structure and behavior. The proposed metamodeling procedure is a top-down approach based on the Unified Modeling Language, a graphic and textual formalism for representing systems structure and behavior. ©2010 IEEE.},
    author_keywords={Discrete event simulation; Information and communication technologies; Intermodal transportation networks; Management; Modeling; Unified modelling language},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Dotoli, M. & Falagario, M. (2010) A hierarchical vendor selection optimization technique for multiple sourcing IN KMIS 2010 – Proceedings of the International Conference on Knowledge Management and Information Sharing., 195-200.
    [Bibtex]
    @CONFERENCE{Dotoli2010195,
    author={Dotoli, M. and Falagario, M.},
    title={A hierarchical vendor selection optimization technique for multiple sourcing},
    journal={KMIS 2010 - Proceedings of the International Conference on Knowledge Management and Information Sharing},
    year={2010},
    pages={195-200},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751511213&partnerID=40&md5=a5baa3113c034c11adfad250157507ed},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 7015 Bari, Italy; Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Via Re David 200, 7015 Bari, Italy},
    abstract={The paper addresses a crucial objective of the strategic function of purchasing in supply chains, i.e., vendor rating, proposing a hierarchical model for supplier business intelligence. A three-level optimization process for supplier selection in a multiple sourcing strategy context is proposed. First, the Data Envelopment Analysis, the most widespread method for supplier selection, is used to evaluate the efficiency of suppliers. Second, the well-known Analytic Hierarchy Process is applied to rank the efficient suppliers given by the previous step. Third, a linear programming problem is solved to find the quantities to order from each efficient supplier. We show the model effectiveness on a simulated case study of a C class component.},
    author_keywords={Analytic hierarchy process; Business intelligence; Data envelopment analysis; Decision support system; Linear programming; Supplier evaluation and selection; Supply chain management},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Pia Fanti, M., Marcello Mangini, A., Sciancalepore, F. & Ukovich, W. (2010) A model for the strategic design of Distribution Networks IN 2010 IEEE International Conference on Automation Science and Engineering, CASE 2010., 406-411.
    [Bibtex]
    @CONFERENCE{Costantino2010406,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Pia Fanti, M. and Marcello Mangini, A. and Sciancalepore, F. and Ukovich, W.},
    title={A model for the strategic design of Distribution Networks},
    journal={2010 IEEE International Conference on Automation Science and Engineering, CASE 2010},
    year={2010},
    pages={406-411},
    doi={10.1109/COASE.2010.5584706},
    art_number={5584706},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149431454&doi=10.1109%2fCOASE.2010.5584706&partnerID=40&md5=d75e6656395f003e11f71d3a96fe06ec},
    affiliation={Department of Ingegneria Meccanica e Gestionale, Politecnico di Bari, Bari, Italy; Department of Elettrotecnica Ed Elettronica, Politecnico di Bari, Bari, Italy; Department of Electronics, Electrical Engineering and Computer Science, University of Trieste, Trieste, Italy},
    abstract={The paper addresses the optimal design of the last branch of the supply chain, i.e., the Distribution Network (DN), starting from manufacturers till the retailers. Considering a distributed system composed of different stages connected by material links labeled with suitable performance indices, a procedure employing digraph modeling and mixed integer linear programming is presented to select the (sub)optimal DN configuration. The optimization model is applied under structural constraints to a case study describing the distribution chain of a large enterprise of southern Italy producing consumer goods. The problem solution provides different structures allowing the improvement of the DN flexibility and performance. © 2010 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Mangini, A. M., Stecco, G. & Ukovich, W. (2010) The impact of ICT on intermodal transportation systems: A modelling approach by Petri nets. IN Control Engineering Practice, 18.893-903.
    [Bibtex]
    @ARTICLE{Dotoli2010893,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Stecco, G. and Ukovich, W.},
    title={The impact of ICT on intermodal transportation systems: A modelling approach by Petri nets},
    journal={Control Engineering Practice},
    year={2010},
    volume={18},
    number={8},
    pages={893-903},
    doi={10.1016/j.conengprac.2010.03.013},
    note={cited By 47},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955096154&doi=10.1016%2fj.conengprac.2010.03.013&partnerID=40&md5=3b58bbe0be9d1738e325d3777889db99},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy; Dipartimento di Elettrotecnica, Elettronica e Informatica, Università di Trieste, Via A. Valerio 10, 34127 Trieste, Italy},
    abstract={The paper addresses the issues of modelling and managing Intermodal Transportation Systems (ITS) at the operational level, considering the impact of the new Information and Communication Technologies (ICT). ITS are regarded as discrete event systems and are modelled in a timed Petri net framework. In order to show the efficiency of the ITS modelling and controlling technique, the case study of the ferry terminal of Trieste (Italy) is considered. The results show that the approach can be employed to verify the potential of ICT for efficient real time management of ITS, and their impact on the ITS infrastructures. © 2010 Elsevier Ltd.},
    author_keywords={Discrete event systems; Information technology; Petri-nets; Simulation; Transportation},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Iacobellis, G., Martino, L., Moretti, A. M. & Ukovich, W. (2010) Modeling and management of a hospital department via petri nets IN 2010 IEEE Workshop on Health Care Management, WHCM 2010..
    [Bibtex]
    @CONFERENCE{Dotoli2010,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Martino, L. and Moretti, A.M. and Ukovich, W.},
    title={Modeling and management of a hospital department via petri nets},
    journal={2010 IEEE Workshop on Health Care Management, WHCM 2010},
    year={2010},
    doi={10.1109/WHCM.2010.5441248},
    art_number={5441248},
    note={cited By 19},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952487555&doi=10.1109%2fWHCM.2010.5441248&partnerID=40&md5=aaff79342353c72b989c2d5bf7a45ec5},
    affiliation={Dept. of Electrical and Electronic Engineering, Polytechnic of Bari, Bari, Italy; Pulmonology Department, General Hospital, Bari, Italy; Dept. of Electronic, Electrical Engineering and Computer Science, University of Trieste, Trieste, Italy},
    abstract={This paper addresses the management and performance analysis of the pulmonology department of the general hospital of Bari, Italy, focusing on the department workflow and drug distribution system. To this aim, we present a discrete event system model which can be employed as a support for taking decisions regarding the information and automation integration in order to improve the drug procurement logistics and management. The model employs a timed Petri net framework to describe in a concise and detailed way the workflow in the pulmonology department, while considering various ordering and management policies of the department drug storehouse. ©2010 IEEE.},
    author_keywords={Drug distribution system; Hospital management; Performance evaluation; Petri nets; Pharmacy storehouse inventory; Simulation},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P., Mangini, A. M., Sciancalepore, F. & Ukovich, W. (2010) A model for the optimal design of the hospital drug distribution chain IN 2010 IEEE Workshop on Health Care Management, WHCM 2010..
    [Bibtex]
    @CONFERENCE{Costantino2010,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Mangini, A.M. and Sciancalepore, F. and Ukovich, W.},
    title={A model for the optimal design of the hospital drug distribution chain},
    journal={2010 IEEE Workshop on Health Care Management, WHCM 2010},
    year={2010},
    doi={10.1109/WHCM.2010.5441281},
    art_number={5441281},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952471175&doi=10.1109%2fWHCM.2010.5441281&partnerID=40&md5=15b29d270d1b264c1a87373be06efbe1},
    affiliation={Dipartimento di Ingegneria Meccanica E Gestionale, Politecnico di Bari, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy; Dipartimento di Elettrotecnica Elettronica e Informatica, Università di Trieste, Italy},
    abstract={The paper addresses the optimal design of the last branch of the pharmaceutical supply chain, i.e., the Hospital Drug Distribution Chain (HDDC), starting from suppliers till the patients of a department. Considering a distributed healthcare system composed of different stages connected by medicine and information links labeled with suitable performance indices, a procedure employing digraph modeling and mixed integer linear programming is presented to select the (sub)optimal HDDC configuration. The optimization model is applied under structural constraints to a case study describing an Italian healthcare regional distribution chain. The problem solution provides different HDDC structures allowing the improvement of the healthcare supply chain flexibility and performance. ©2010 IEEE.},
    author_keywords={Hospital drug distribution system; Mixed integer linear programming; Optimization; Performance; Supply chain},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Falagario, M., Mangini, A. M. & Sciancalepore, F. (2010) A novel formulation of the DEA model for application to supplier selection IN Proceedings of the 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010..
    [Bibtex]
    @CONFERENCE{Dotoli2010,
    author={Dotoli, M. and Falagario, M. and Mangini, A.M. and Sciancalepore, F.},
    title={A novel formulation of the DEA model for application to supplier selection},
    journal={Proceedings of the 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010},
    year={2010},
    doi={10.1109/ETFA.2010.5749382},
    art_number={5749382},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901232311&doi=10.1109%2fETFA.2010.5749382&partnerID=40&md5=971587839c2b59b1389545fb72a851b6},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy; Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bani, Bari, Italy},
    abstract={The paper deals with a key objective of the strategic purchasing function in supply chain management, namely vendor evaluation and selection. We propose a novel formulation of the so-called Data Envelopment Analysis (DEA) technique that overcomes some known drawbacks of DEA in the application to supplier selection in the enterprise integration, New constraints are introduced in the DEA method in order to better mimic the buyer behavior. We call the resulting approach DEA-P (DEA Percentage) because it allows the decision maker to compare the different supplier evaluation criteria by assigning a percentage index expressing the importance of each criterion. A simulated case study demonstrates the effectiveness of the novel method for suppliers election optimization. This work was supported by the Cassa di Risparmio di Puglia Foundation. © 2010 IEEE.},
    author_keywords={Data Envelopment Analysis; Enterprise integration; Mathematical programming; Supply Chain; Vendor rating},
    document_type={Conference Paper},
    source={Scopus},
    }

2009

  • Fanti, M. P. & Dotoli, M. (2009) Foreword IN IFAC Proceedings Volumes (IFAC-PapersOnline)., IV.
    [Bibtex]
    @CONFERENCE{Fanti2009,
    author={Fanti, M.P. and Dotoli, M.},
    title={Foreword},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2009},
    volume={2},
    number={PART 1},
    pages={IV},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960961136&partnerID=40&md5=e2662f7a82922814111aca585d977af6},
    document_type={Editorial},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Iacobellis, G., Stecco, G. & Ukovich, W. (2009) Performance analysis and management of an Automated Distribution Center IN IECON Proceedings (Industrial Electronics Conference)., 4371-4376.
    [Bibtex]
    @CONFERENCE{Dotoli20094371,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Stecco, G. and Ukovich, W.},
    title={Performance analysis and management of an Automated Distribution Center},
    journal={IECON Proceedings (Industrial Electronics Conference)},
    year={2009},
    pages={4371-4376},
    doi={10.1109/IECON.2009.5414907},
    art_number={5414907},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951582516&doi=10.1109%2fIECON.2009.5414907&partnerID=40&md5=87110eb411323e6be572de8c653e15ec},
    affiliation={Department of Electrical and Electronic Engineering, Politecnico di Bari, Bari, Italy; Department of Electronics, Electrical Engineering and Computer Science, University of Trieste, Trieste, Italy},
    abstract={Fierce global competition, rapid market changes and short product life cycles originated the diffusion of automated warehousing systems. This paper focuses on the performance evaluation and management of an Automated Distribution Center (ADC), i.e., a specific and automated type of warehouse where storage of products is limited or non-existent and the core activity is the sorting operation. We consider a case study in the clothing factory and we model the ADC as a discrete event system by way of the UML formalism, a graphic and textual modeling language intended to describe systems from structural and dynamics viewpoints. The ADC is simulated in the well-known ARENA simulation software environment under several scenarios, in which different system parameters are considered, e.g. number of material handling operators, speeds of machines, dimensions of pallets etc. The employed approach enables us to successfully select crucial parameters in order to improve the ADC management. ©2009 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Boschian, V., Dotoli, M., Fanti, M. P., Iacobellis, G. & Ukovich, W. (2009) A metamodelling approach to the management of intermodal transportation networks IN Intelligent Vehicle Controls and Intelligent Transportation Systems – Proceedings of the 3rd International Workshop – IVC and ITS 2009 In Conjunction with ICINCO 2009., 96-105.
    [Bibtex]
    @CONFERENCE{Boschian200996,
    author={Boschian, V. and Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Ukovich, W.},
    title={A metamodelling approach to the management of intermodal transportation networks},
    journal={Intelligent Vehicle Controls and Intelligent Transportation Systems - Proceedings of the 3rd International Workshop - IVC and ITS 2009 In Conjunction with ICINCO 2009},
    year={2009},
    pages={96-105},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-74549210097&partnerID=40&md5=e77aec3c0a65bdeaa4d9a12c18d92761},
    affiliation={Department of Electronics, Electrical, Engineering and Computer Science, University of Trieste, Trieste, Italy; Department of Electrical and Electronic Engineering, 70125 Bari, Italy},
    abstract={The paper develops a novel and broad metamodel of a generic Intermodal Transportation Network (ITN), devoted to provide a reference model for the real time management and control of such systems. In order to take operational decisions, the presented model describes in detail the ITN structure and dynamic evolution that is updated on the basis of the information obtained in real time by modern information and communication technologies tools. The proposed metamodelling approach consists in employing a top down procedure and is based on the UML formalism, a graphic and textual modelling language intended to describe systems from structural and dynamics viewpoints. Hence, the paper models a generic ITN starting from the network description and shows as an example the metamodel of one of the most important nodes that compose it: the port subsystem. To this aim, we present the main UML diagrams describing the structure and dynamics of a case study.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Mangini, A. M. & Ukovich, W. (2009) On-line fault diagnosis in a petri net framework IN 2009 IEEE International Conference on Automation Science and Engineering, CASE 2009., 42-47.
    [Bibtex]
    @CONFERENCE{Dotoli200942,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Ukovich, W.},
    title={On-line fault diagnosis in a petri net framework},
    journal={2009 IEEE International Conference on Automation Science and Engineering, CASE 2009},
    year={2009},
    pages={42-47},
    doi={10.1109/COASE.2009.5234113},
    art_number={5234113},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449135193&doi=10.1109%2fCOASE.2009.5234113&partnerID=40&md5=4fc1b5cbc8fe6f5849f9c52a0af94f6e},
    affiliation={Department of Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy; Department of Electronics, Electrical Engineering and Computer Science, University of Trieste, Trieste, Italy},
    abstract={The paper addresses the fault detection problem for discrete event systems modeled by Petri Nets (PN). Assuming that the PN structure and initial marking are known, faults are modeled by unobservable transitions. The paper recalls a previously proposed diagnoser that works online and employs an algorithm based on the definition and solution of some integer linear programming problems to decide whether the system behavior is normal or exhibits some possible faults. To reduce the on-line computational effort, we prove some results showing that if the unobservable subnet enjoys suitable properties, the algorithm solution may be obtained with low computational complexity. We characterize the properties that the PN modeling the system fault behavior has to fulfill and suitably modify the proposed diagnoser. © 2009 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Mangini, A. M., Stecco, G. & Ukovich, W. (2009) The impact of ICT on an intermodal transportation system: An analysis by petri nets IN 2009 IEEE International Conference on Automation Science and Engineering, CASE 2009., 513-518.
    [Bibtex]
    @CONFERENCE{Dotoli2009513,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Stecco, G. and Ukovich, W.},
    title={The impact of ICT on an intermodal transportation system: An analysis by petri nets},
    journal={2009 IEEE International Conference on Automation Science and Engineering, CASE 2009},
    year={2009},
    pages={513-518},
    doi={10.1109/COASE.2009.5234159},
    art_number={5234159},
    note={cited By 2},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449090327&doi=10.1109%2fCOASE.2009.5234159&partnerID=40&md5=10e95b4890f14d377b053e1b43893764},
    affiliation={Department of Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy; Department of Electronics, Electrical Engineering and Computer Science, University of Trieste, Trieste, Italy},
    abstract={Intermodal Transportation Systems (ITS) are logistics networks integrating different transportation services, designed to move goods from origin to destination in a timely manner and using intermodal transportation means. This paper addresses the problem of the modeling and management of ITS at the operational level considering the impact that the new Information and Communication Technologies (ICT) tools can have on management and control of these systems. An effective ITS model at the operational level should focus on evaluating performance indices describing activities, resources and concurrency, by integrating information and financial flows. To this aim, ITS are regarded as discrete event systems and are modeled in a Petri net framework. We consider as a case study the ferry terminal of Trieste (Italy) that is described and simulated in different operative conditions characterized by different types of ICT solutions and information. The simulation results show that ICT have a huge potential for efficient real time management and operation of ITS, as well as an effective impact on the infrastructures. © 2009 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Mangini, A. M. & Ukovich, W. (2009) On-line fault detection in discrete event systems by Petri nets and integer linear programming. IN Automatica, 45.2665-2672.
    [Bibtex]
    @ARTICLE{Dotoli20092665,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Ukovich, W.},
    title={On-line fault detection in discrete event systems by Petri nets and integer linear programming},
    journal={Automatica},
    year={2009},
    volume={45},
    number={11},
    pages={2665-2672},
    doi={10.1016/j.automatica.2009.07.021},
    note={cited By 128},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349884020&doi=10.1016%2fj.automatica.2009.07.021&partnerID=40&md5=0cfc9d084d8efaae951a91dc8ea6cbbe},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Bari, Italy; Dipartimento di Elettrotecnica, Elettronica e Informatica, University of Trieste, Trieste, Italy},
    abstract={The paper addresses the fault detection problem for discrete event systems in a Petri Net (PN) framework. Assuming that the structure of the PN model and the initial marking are known, faults are modelled by unobservable transitions. Moreover, we assume that there may be additional unobservable transitions associated with the system legal behaviour and that the marking reached after the firing of any transition is unknown. The proposed diagnoser works on-line: it waits for the firing of an observable transition and employs an algorithm based on the definition and solution of some integer linear programming problems to decide whether the system behaviour is normal or exhibits some possible faults. The results characterize the properties that the PN modelling the system fault behaviour has to fulfill in order to reduce the on-line computational effort. © 2009 Elsevier Ltd. All rights reserved.},
    author_keywords={Discrete event systems; Fault detection; Integer programming; Petri nets},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Iacobellis, G. & Mangini, A. M. (2009) A first-order hybrid petri net model for supply chain management. IN IEEE Transactions on Automation Science and Engineering, 6.744-758.
    [Bibtex]
    @ARTICLE{Dotoli2009744,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G. and Mangini, A.M.},
    title={A first-order hybrid petri net model for supply chain management},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2009},
    volume={6},
    number={4},
    pages={744-758},
    doi={10.1109/TASE.2009.2021362},
    art_number={5109504},
    note={cited By 49},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350035689&doi=10.1109%2fTASE.2009.2021362&partnerID=40&md5=66a2991f2030fe1aa6071a5181fb567d},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Bari 70125, Italy},
    abstract={A supply chain (SC) is a network of independent manufacturing and logistics companies that perform the critical functions in the order fulfillment process. This paper proposes an effective and modular model to describe material, financial and information flow of SCs at the operational level based on first-order hybrid Petri nets (PNs), i.e., PNs that make use of first-order fluid approximation. The proposed formalism enables the SC designer to choose suitable production rates of facilities in order to optimize the chosen objective function. The optimal mode of operation is performed based on the state knowledge of the obtained linear discrete-time, time-varying state variable model in order to react to unpredictable events such as the blocking of a supply or an accident in a transportation facility. A case study is modeled in the proposed framework and is simulated under three different closed-loop control strategies. © 2006 IEEE.},
    author_keywords={Management; Modeling; Performance evaluation; Petri nets (PNs); Simulation; Supply chains (SCs)},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P. & Iacobellis, G. (2009) A decision support system framework for purchasing management in supply chains. IN Journal of Business and Industrial Marketing, 24.278-290.
    [Bibtex]
    @ARTICLE{Costantino2009278,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Iacobellis, G.},
    title={A decision support system framework for purchasing management in supply chains},
    journal={Journal of Business and Industrial Marketing},
    year={2009},
    volume={24},
    number={3-4},
    pages={278-290},
    doi={10.1108/08858620910939822},
    note={cited By 15},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-69449100683&doi=10.1108%2f08858620910939822&partnerID=40&md5=0bc27b827bd9da31ca2fcf387b647907},
    affiliation={Dipartimento di Ingegneria Meccanica e Gestionale, Politecnico di Bari, Bari, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={Purpose: This paper aims to propose the framework of a decision support system (DSS) to select the optimal number of suppliers that are candidate to join a supply chain network. Design/methodology/approach: The DSS bases the decision on the cost evaluation of the transaction among the buyer and the potentially available suppliers by way of a Monte Carlo approach. In particular, the presented DSS includes a statistical module and the DSS core. The former module estimates (in a probabilistic way) the exchange performance indices, i.e. total cost of the transaction, purchasing price and additional costs of purchasing, while the latter module implements the transaction evolution making use of a simulation model. The DSS is tested by way of a case study, namely the supply of a customized product by a general contractor in the construction industry. Findings: The obtained DSS results are validated with the actual data of the purchasing, and confirm the underlying model suitability and the DSS effectiveness for purchasing management in supply chains. The DSS is able to evaluate the total cost of purchasing and the optimal number of suppliers to contact before the transaction takes place and may be employed by the buyer to forecast the cost of the purchase and take decisions to minimize such a performance index of the exchange. Research limitations/implications: Perspectives on future research include further validations of the DSS, also considering other factors than price in the transaction evaluation. Originality/value: The paper shows that the DSS can be successfully employed to identify managerial guidelines that can be followed by practitioners, particularly when the first supply of a product has to be carried out. © Emerald Group Publishing Limited.},
    author_keywords={Decision support systems; Monte Carlo methods; Purchasing; Supply chain management; Transaction costs},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Mangini, A. M. & Ukovich, W. (2009) A continuous Petri net model for the management and design of Emergency Cardiology Departments IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 50-55.
    [Bibtex]
    @CONFERENCE{Dotoli200950,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Ukovich, W.},
    title={A continuous Petri net model for the management and design of Emergency Cardiology Departments},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2009},
    volume={3},
    number={PART 1},
    pages={50-55},
    doi={10.3182/20090916-3-es-3003.00010},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960969597&doi=10.3182%2f20090916-3-es-3003.00010&partnerID=40&md5=7f79c544ef40a4c444d0eed7d5e5b39c},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy; Dipartimento di Elettrotecnica, Elettronica e Informatica, University of Trieste, Trieste, Italy},
    abstract={The efficient management of the Emergency Department (ED) has become an important issue in the past decade. Indeed, the increased demand for emergency services has saturated the capacity of EDs that require suitable tools for the efficient flow of work and people. The paper proposes a model to describe in a concise and effective way the structure and dynamics of a critical ED of the general hospital of Bari (Italy): the Emergency Cardiology Department (ECD). The model describes in a continuous Petri net framework the complete workflow and management of patients starting from their arrival to the ED until either their discharge from the hospital or their admission in a suitable hospital department. The fluid approximation allows defining suitable optimization problems to optimize the system performances and determine the optimal resource dimension guaranteeing the efficient management of the ECD. A simulation study shows that the optimized parameters lead to an effective workflow organization while maximizing the patient flow.},
    author_keywords={Continuous Petri nets; Healthcare systems; Modeling; Performance evaluation; Simulation},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Mangini, A. M. & Ukovich, W. (2009) Identification of DES unobservable behaviour by Petri Nets IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 99-104.
    [Bibtex]
    @CONFERENCE{Dotoli200999,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Ukovich, W.},
    title={Identification of DES unobservable behaviour by Petri Nets},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2009},
    volume={2},
    number={PART 1},
    pages={99-104},
    doi={10.3182/20090610-3-it-4004.00022},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960955648&doi=10.3182%2f20090610-3-it-4004.00022&partnerID=40&md5=1d26ab825b3bccc1e6559170dec1a9c8},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy; Dipartimento di Elettrotecnica, Elettronica e Informatica, University of Trieste, Trieste, Italy},
    abstract={The paper addresses the problem of the on-line identification of Petri Nets (PN) modelling the unobservable behaviour of Discrete Event Systems (DES). Starting from a previous specification of an identifier that monitors the DES events and the corresponding available place markings, the paper proves some results that make the on-line identification of reasonable complexity. Assuming that the PN system modelling the observable events is known, at each event occurrence an identification algorithm recursively updates and provides as an output the complete PN system describing both the observable and unobservable DES behaviour. An example shows an application of the proposed technique. © 2009 IFAC.},
    author_keywords={Discrete Event Systems; Identification algorithms; Integer programming; Modelling; Petri Nets},
    document_type={Conference Paper},
    source={Scopus},
    }

2008

  • Dotoli, M., Fanti, M. P., Mangini, A. M. & Ukovich, W. (2008) A model to describe the hospital drug distribution system via first order hybrid Petri nets IN 20th European Modeling and Simulation Symposium, EMSS 2008., 700-705.
    [Bibtex]
    @CONFERENCE{Dotoli2008700,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Ukovich, W.},
    title={A model to describe the hospital drug distribution system via first order hybrid Petri nets},
    journal={20th European Modeling and Simulation Symposium, EMSS 2008},
    year={2008},
    pages={700-705},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871541608&partnerID=40&md5=d912595050141ec47be7f4f8f8633154},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Polytechnic of Bari, Italy; Dipartimento di Elettrotecnica, Elettronica e Informatica, University of Trieste, Italy},
    abstract={The paper proposes a model for simulation and performance evaluation of the hospital drug distribution system, a key process for the effectiveness and efficiency of the hospital offered services. In particular, we propose a modeling technique employing the first order hybrid Petri nets formalism, i.e., Petri nets making use of first order fluid approximation. The presented model is able to effectively describe the typical doctors and nurses daily operations and may be employed for staffing performance evaluation and optimization. A simulation of the drug distribution system of a department of an Italian hospital is performed in the well-known MATLAB environment to enlighten the potential of the proposed model.},
    author_keywords={Hospital drug distribution system; Hybrid Petri nets; Modeling; Performance evaluation},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Fanti, M. P., Dotoli, M. & Mangini, A. M. (2008) Fault detection of discrete event systems using Petri nets and integer linear programming IN IFAC Proceedings Volumes (IFAC-PapersOnline)..
    [Bibtex]
    @CONFERENCE{Fanti2008,
    author={Fanti, M.P. and Dotoli, M. and Mangini, A.M.},
    title={Fault detection of discrete event systems using Petri nets and integer linear programming},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2008},
    volume={17},
    number={1 PART 1},
    doi={10.3182/20080706-5-KR-1001.1414},
    note={cited By 16},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961020315&doi=10.3182%2f20080706-5-KR-1001.1414&partnerID=40&md5=f98d947726f39837999e3837999c4f6d},
    abstract={The paper addresses the fault detection problem for discrete event systems on the basis of a Petri Net (PN) model. Assuming that the structure of the PN and the initial marking are known, faults are modelled by unobservable transitions. Moreover, we assume that there may be additional unobservable transitions that are associated with the system legal behaviour and that the marking reached after the firing of a transition is unknown. We propose a diagnoser that works on-line: it waits for the firing of an observable transition and employs an algorithm based on the definition of some integer linear programming problems to decide whether the system behaviour is normal or exhibits some possible faults. Copyright © 2007 International Federation of Automatic Control All Rights Reserved.},
    author_keywords={Automata, Petri nets and other tools; Discrete event systems modeling and control; Fault detection and diagnosis},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Iacobellis, G. (2008) An urban traffic network model by first order hybrid petri nets IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 1929-1934.
    [Bibtex]
    @CONFERENCE{Dotoli20081929,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G.},
    title={An urban traffic network model by first order hybrid petri nets},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2008},
    pages={1929-1934},
    doi={10.1109/ICSMC.2008.4811572},
    art_number={4811572},
    note={cited By 23},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-69949182421&doi=10.1109%2fICSMC.2008.4811572&partnerID=40&md5=7ad40a1738fa0a6b4f14907d824d687b},
    affiliation={Department of Electric and Electronic Engineering, Politecnico di Bari, Bari, Italy},
    abstract={The paper proposes a model for real time control of urban traffic networks. A modular framework based on first order hybrid Petri nets models the vehicle flows by a first order fluid approximation. Moreover, the lane interruptions and the signal timing plan controlling the area are described by the discrete event dynamics using timed Petri nets. The proposed model is applied to a real intersection located in Bari, Italy. Simulation of different scenarios shows the technique efficiency: validation is performed by comparison with a previously proposed alternative approach employing colored Petri nets. © 2008 IEEE.},
    author_keywords={Hybrid Petri nets; Modeling; Simulation; Urban traffic control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2008) Fault monitoring of automated manufacturing systems by first order hybrid petri nets IN 4th IEEE Conference on Automation Science and Engineering, CASE 2008., 181-186.
    [Bibtex]
    @CONFERENCE{Dotoli2008181,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={Fault monitoring of automated manufacturing systems by first order hybrid petri nets},
    journal={4th IEEE Conference on Automation Science and Engineering, CASE 2008},
    year={2008},
    pages={181-186},
    doi={10.1109/COASE.2008.4626493},
    art_number={4626493},
    note={cited By 9},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-54949141198&doi=10.1109%2fCOASE.2008.4626493&partnerID=40&md5=82f63861faeb83399b65e0dadecf02f2},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={Fault monitoring plays an important role for safety and reliability of industrial systems. We present a novel on-line monitoring technique for automated manufacturing systems employing the first order hybrid Petri nets formalism, i.e., Petri nets making use of first order fluid approximation. The proposed fault analysis approach belongs to the class of event based methodologies, so that the state space explosion problem is avoided. Moreover, the presented technique relies on a modular framework: elementary monitors can be connected with other monitors to check complex systems. Timely and accurate detection of system failures is ensured, i.e., faults are detected before the maximum execution time assigned to each task. An application to an automated manufacturing system proposed in the related literature enlightens the simplicity and modularity of the technique. ©2008 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Mangini, A. M. & Ukovich, W. (2008) On-line identification of petri nets with unobservable transitions IN Proceedings – 9th International Workshop on Discrete Event Systems, WODES’ 08., 449-454.
    [Bibtex]
    @CONFERENCE{Dotoli2008449,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Ukovich, W.},
    title={On-line identification of petri nets with unobservable transitions},
    journal={Proceedings - 9th International Workshop on Discrete Event Systems, WODES' 08},
    year={2008},
    pages={449-454},
    doi={10.1109/WODES.2008.4605988},
    art_number={4605988},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-53149095035&doi=10.1109%2fWODES.2008.4605988&partnerID=40&md5=3c6d68ca1745aec9a6cdf2cd007eed2d},
    affiliation={Department of Elettrotecnica ed Elettronica, Polytecnic of Bari, Bari, Italy; Department of Elettrotecnica, Elettronica e Informatica, University of Trieste, Trieste, Italy},
    abstract={The paper addresses the problem of the on-line identification of Petri Nets (PNs) modeling Discrete Event Systems (DESs) that exhibit unobservable events. The identifier monitors the DES events and the corresponding available place markings. Assuming that the observable transition set, the place set and the corresponding PN structure are known, at each event occurrence an identification algorithm defines and solves some integer linear programming problems. We prove that the complete PN system describing both the observable and unobservable DES behavior is recursively identified. An example shows an application of the proposed technique. ©2008 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Giua, A. & Seatzu, C. (2008) First-order hybrid Petri nets. An application to distributed manufacturing systems. IN Nonlinear Analysis: Hybrid Systems, 2.408-430.
    [Bibtex]
    @ARTICLE{Dotoli2008408,
    author={Dotoli, M. and Fanti, M.P. and Giua, A. and Seatzu, C.},
    title={First-order hybrid Petri nets. An application to distributed manufacturing systems},
    journal={Nonlinear Analysis: Hybrid Systems},
    year={2008},
    volume={2},
    number={2},
    pages={408-430},
    doi={10.1016/j.nahs.2006.05.005},
    note={cited By 55},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-40949088524&doi=10.1016%2fj.nahs.2006.05.005&partnerID=40&md5=b9651265b4f7911e8a1741c737b975cb},
    affiliation={Dip. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy; Dip. di Ing. Elettrica ed Elettronica, Università di Cagliari, Italy},
    abstract={In this paper we consider Hybrid Petri Nets (HPNs), a particular formalism that combines fluid and discrete event dynamics. We first provide a survey of the main HPN models that have been presented in the literature in the last decades. Then, we focus on a particular HPN model, namely the First-Order Hybrid Petri Net (FOHPN) model, whose continuous dynamics are piece-wise constant. Here the problem of designing an optimal controller simply requires solving on-line an appropriate linear integer programming problem. In this paper we show how FOHPNs can efficiently represent the concurrent activities of Distributed Manufacturing Systems (DMS), and some interesting optimization problems are also solved via numerical simulation. © 2007 Elsevier Ltd. All rights reserved.},
    author_keywords={Distributed manufacturing systems; First-order hybrid Petri nets; Hybrid Petri nets; Manufacturing systems},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2008) Real time identification of discrete event systems using Petri nets. IN Automatica, 44.1209-1219.
    [Bibtex]
    @ARTICLE{Dotoli20081209,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={Real time identification of discrete event systems using Petri nets},
    journal={Automatica},
    year={2008},
    volume={44},
    number={5},
    pages={1209-1219},
    doi={10.1016/j.automatica.2007.10.014},
    note={cited By 60},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-41949092080&doi=10.1016%2fj.automatica.2007.10.014&partnerID=40&md5=12361e79dc1653207df3c46c549a1f58},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={The paper defines the identification problem for Discrete Event Systems (DES) as the problem of inferring a Petri Net (PN) model using the observation of the events and the available output vectors, that correspond to the markings of the measurable places. Two cases are studied considering different levels of the system knowledge. In the first case the place and transition sets are assumed known. Hence, an integer linear programming problem is defined in order to determine a PN modelling the DES. In the second case the transition and place sets are assumed unknown and only an upper bound of the number of places is given. Hence, the identification problem is solved by an identification algorithm that observes in real time the occurred events and the corresponding output vectors. The integer linear programming problem is defined at each observation so that the PN can be recursively identified. Some results and examples characterize the identified PN systems and show the flexibility and simplicity of the proposed technique. Moreover, an application to the synthesis of supervisory control of PN systems via monitor places is proposed. © 2008 Elsevier Ltd. All rights reserved.},
    author_keywords={Discrete event systems; Identification algorithms; Integer programming; Petri nets},
    document_type={Article},
    source={Scopus},
    }
  • Dotoli, M., Fanti, M. P., Mangini, A. M. & Ukovich, W. (2008) Modelling and design of hospital departments by timed continuous petri nets IN 7th International Workshop on Modeling and Applied Simulation, MAS 2008, Held at the International Mediterranean Modeling Multiconference, I3M 2008., 175-180.
    [Bibtex]
    @CONFERENCE{Dotoli2008175,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Ukovich, W.},
    title={Modelling and design of hospital departments by timed continuous petri nets},
    journal={7th International Workshop on Modeling and Applied Simulation, MAS 2008, Held at the International Mediterranean Modeling Multiconference, I3M 2008},
    year={2008},
    pages={175-180},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898779266&partnerID=40&md5=8d24cb7b150b264b18ece389443ce397},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Polytechnic of Bari, Italy; Dipartimento di Elettrotecnica, Elettronica e Informatica, University of Trieste, Italy},
    abstract={This paper proposes a model to describe in a concise and detailed way the flow of patients in a hospital starting from their arrival to the emergency medical service to the assignment of beds in the suitable department and finally the discharge. The model is based on a continuous Petri nets framework, whose fluid approximation allows us to define suitable optimization problems in order to plan the system capacity, e.g., determining the medical and nursing staff dimension and the number of beds. A case study and a simulation and optimization analysis show the efficiency of the model.},
    author_keywords={Continuous Petri nets; Hospital department; Modeling; Performance evaluation},
    document_type={Conference Paper},
    source={Scopus},
    }

2007

  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2007) On line identification of discrete event systems via Petri nets: An application to monitor specification IN Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007., 893-898.
    [Bibtex]
    @CONFERENCE{Dotoli2007893,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={On line identification of discrete event systems via Petri nets: An application to monitor specification},
    journal={Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007},
    year={2007},
    pages={893-898},
    doi={10.1109/COASE.2007.4341704},
    art_number={4341704},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-44449085007&doi=10.1109%2fCOASE.2007.4341704&partnerID=40&md5=b5277b368f67f6f36998e65a5bda2133},
    affiliation={IEEE; Department of Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={The paper proves some properties of a previously proposed identification algorithm that builds on line the Petri net model of Discrete Event Systems (DES). The procedure uses the real time observation of the DES events and the corresponding available output vectors that partially provide the place markings. The paper shows how the considered identification method allows us to define a supervisory controller via monitor places enforcing generalized mutual exclusion constraints. To show the efficiency of the proposed approach, a communication gateway case study is presented. © 2007 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2007) Comparing management policies for supply chains via a hybrid petri net model IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 3469-3474.
    [Bibtex]
    @CONFERENCE{Dotoli20073469,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={Comparing management policies for supply chains via a hybrid petri net model},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2007},
    pages={3469-3474},
    doi={10.1109/ICSMC.2007.4413684},
    art_number={4413684},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-40949162283&doi=10.1109%2fICSMC.2007.4413684&partnerID=40&md5=288871ff4268a3cf4d9bcd8835591416},
    affiliation={IEEE; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={This paper presents a Supply Chain (SC) model at the operational level based on first order hybrid Petri Nets (PNs), i.e., PNs that make use of first order fluid approximation. The model addresses the issue of the management strategies that control the material flow and the inventory stocks in the SC. In particular, we apply the standard Make-To-Stock and Make-To-Order policies to a SC case study. Suitable inventory control rules manage the logistics, while optimal production rates are chosen according to a given objective function. © 2007 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2007) Fuzzy multi-objective optimization for network design of integrated e-supply chains. IN International Journal of Computer Integrated Manufacturing, 20.588-601.
    [Bibtex]
    @ARTICLE{Dotoli2007588,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={Fuzzy multi-objective optimization for network design of integrated e-supply chains},
    journal={International Journal of Computer Integrated Manufacturing},
    year={2007},
    volume={20},
    number={6},
    pages={588-601},
    doi={10.1080/09511920601079397},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547494591&doi=10.1080%2f09511920601079397&partnerID=40&md5=68dadc97618c8fddfa921ab99a5fea74},
    affiliation={Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={Worldwide competition originated the development of integrated e-supply chains (IESC) that are distributed manufacturing systems integrating international logistics and information technologies with production. This work builds upon an IESC network design methodology previously proposed to select partners in the different IESC stages and the links connecting them. In order to rank the Pareto optimal solutions obtained by such a method, the paper proposes a second level IESC optimization performed using fuzzy logic. Indeed, fuzzy multi-criteria optimization is particularly suitable for choosing, on the basis of the subjective and qualitative knowledge provided by the decision makers, the IESC configuration from the set of Pareto optimal alternatives. Two fuzzification techniques and two different multi-criteria methods are considered. Moreover, a discussion on the different advantages and limitations of the proposed techniques is provided. Finally, the effectiveness of the methodology is illustrated by way of a case study.},
    author_keywords={Fuzzy logic; Integrated e-supply chains; Network design; Optimization; Performance indices},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2007) Deadlock detection and avoidance strategies for automated storage and retrieval systems. IN IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 37.541-552.
    [Bibtex]
    @ARTICLE{Dotoli2007541,
    author={Dotoli, M. and Fanti, M.P.},
    title={Deadlock detection and avoidance strategies for automated storage and retrieval systems},
    journal={IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews},
    year={2007},
    volume={37},
    number={4},
    pages={541-552},
    doi={10.1109/TSMCC.2007.897690},
    note={cited By 26},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34447295640&doi=10.1109%2fTSMCC.2007.897690&partnerID=40&md5=2be99f5630e141a0397fe6ee5c5ccada},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, 70125 Bari, Italy},
    abstract={This paper focuses on real-time control of automated storage and retrieval systems (AS/RSs) serviced by a rail-guided vehicle system, a widely used solution for material handling in warehouses. The generic multiproduct AS/RS is modeled as a timed discrete event dynamical system, whose state provides the information on the current interactions between users and resources. Moreover, we address the real-time controller that governs resource allocations and scheduling choices by enabling and inhibiting the system events in order to avoid collisions and deadlocks. To this aim, we characterize deadlock in AS/RSs and define two deadlock resolution strategies: a deadlock avoidance and a deadlock detection/recovery policy. The proposed deadlock formulation and characterization have a general validity and can be applied to single unit resource allocation systems where a subset of users may be regarded as resources of other users. We compare the proposed control policies for a large-scale AS/RS presented in the related literature by several discrete event simulation tests. © 2007 IEEE.},
    author_keywords={Automated storage and retrieval systems (AS/RSs); Deadlock avoidance (DA); Deadlock detection/recovery (DDR); Discrete event simulation; Real-time control},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2007) Real time identification of discrete event systems by Petri Nets IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 241-246.
    [Bibtex]
    @CONFERENCE{Dotoli2007241,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={Real time identification of discrete event systems by Petri Nets},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2007},
    volume={1},
    number={PART 1},
    pages={241-246},
    doi={10.3182/20070613-3-fr-4909.00043},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960919750&doi=10.3182%2f20070613-3-fr-4909.00043&partnerID=40&md5=1ba337fbe13a31f77d63c28534e9720f},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Italy},
    abstract={The paper defines the identification problem for discrete event systems as the problem of inferring a Petri Net (PN) model using the observation of the events and the available output vectors. The transition and place sets are assumed unknown and only an upper bound of the number of places is given. Hence, the identification problem is solved by an algorithm that stores in real-time the occurred events and the corresponding output vectors. An integer linear programming problem is defined and solved at each observation so that the PN system can be recursively identified. An example shows the flexibility and simplicity of the proposed technique. Copyright © 2007 IFAC.},
    author_keywords={Discrete event systems; Identification; Integer linear programming; Petri nets},
    document_type={Conference Paper},
    source={Scopus},
    }

2006

  • Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P. & Iacobellis, G. (2006) A petri net based decision support system for purchasing management in supply chains IN IFAC Proceedings Volumes (IFAC-PapersOnline)..
    [Bibtex]
    @CONFERENCE{Costantino2006,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Iacobellis, G.},
    title={A petri net based decision support system for purchasing management in supply chains},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2006},
    volume={12},
    number={PART 1},
    page_count={6},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961203263&partnerID=40&md5=1e43d3f78bd0494d268764499e2aae1f},
    affiliation={Dipartimento di Ingegneria Meccanica e Gestionale, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy},
    abstract={The paper proposes a Decision Support System (DSS) to address the strategic issue of purchasing management in supply chains based on a transaction cost and purchasing price model employing probabilistic tools. The DSS is implemented in a novel high level Petri nets formalism, called Flow Coloured Petri Nets (FCPN). Several simulation tests of the FCPN model of the proposed DSS demonstrate the ability of the DSS in helping the buyer to determine the optimal number and the type of suppliers to involve in a transaction for a new product or service. Copyright © 2006 IFAC.},
    author_keywords={Decision support systems; Enterprise integration; Management systems; Petri-nets; Simulation},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Meloni, C. (2006) A signal timing plan formulation for urban traffic control. IN Control Engineering Practice, 14.1297-1311.
    [Bibtex]
    @ARTICLE{Dotoli20061297,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C.},
    title={A signal timing plan formulation for urban traffic control},
    journal={Control Engineering Practice},
    year={2006},
    volume={14},
    number={11},
    pages={1297-1311},
    doi={10.1016/j.conengprac.2005.06.013},
    note={cited By 101},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33745223278&doi=10.1016%2fj.conengprac.2005.06.013&partnerID=40&md5=02a6705328b63ce182d71a23dc2aef18},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={This paper addresses urban traffic control using an optimization model for signalized areas. The paper modifies and extends a discrete time model for urban traffic networks proposed in the related literature to take into account some real aspects of traffic. The model is embedded in a real time controller that solves an optimization problem from the knowledge of some measurable inputs. Hence, the controller determines the signal timing plan on the basis of technical, physical, and operational constraints. The actuated control strategy is applied to a case study with severe traffic congestion, showing the effectiveness of the technique. © 2005 Elsevier Ltd. All rights reserved.},
    author_keywords={Discrete time systems; Optimization; Timing plan formulation; Urban traffic control; Urban traffic model},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2006) An urban traffic network model via coloured timed Petri nets. IN Control Engineering Practice, 14.1213-1229.
    [Bibtex]
    @ARTICLE{Dotoli20061213,
    author={Dotoli, M. and Fanti, M.P.},
    title={An urban traffic network model via coloured timed Petri nets},
    journal={Control Engineering Practice},
    year={2006},
    volume={14},
    number={10},
    pages={1213-1229},
    doi={10.1016/j.conengprac.2006.02.005},
    note={cited By 85},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744940832&doi=10.1016%2fj.conengprac.2006.02.005&partnerID=40&md5=305d401577efce152ce33d0d8cd605f2},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={This paper deals with modelling of traffic networks (TNs) for control purposes. A modular framework based on coloured timed Petri nets (CTPNs) is proposed to model the dynamics of signalized TN systems: places represent link cells and crossing sections, tokens are vehicles and token colours represent the routing of the corresponding vehicle. In addition, ordinary timed Petri nets model the signal timing plans of the traffic lights controlling the area. The proposed modelling framework is applied to a real intersection located in Bari, Italy. A discrete event simulation of the controlled intersection validates the model and tests the signal timing plan obtained by an optimization strategy presented in the related literature. © 2006 Elsevier Ltd. All rights reserved.},
    author_keywords={Discrete event systems; Modelling; Petri nets; Traffic control; Urban systems; Validation},
    document_type={Article},
    source={Scopus},
    }
  • Dotoli, M. & Fanti, M. P. (2006) A generalized stochastic Petri net model for supply chain management. IN Mediterranean Journal of Measurement and Control, 2.1-11.
    [Bibtex]
    @ARTICLE{Dotoli20061,
    author={Dotoli, M. and Fanti, M.P.},
    title={A generalized stochastic Petri net model for supply chain management},
    journal={Mediterranean Journal of Measurement and Control},
    year={2006},
    volume={2},
    number={1},
    pages={1-11},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33645000427&partnerID=40&md5=9ec84b773c130b54bbb234bc558e895b},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={A Supply Chain (SC) is a collection of independent companies possessing complementary skills and integrated with transportation and storage systems. This paper deals with the issues of modeling and managing the SC at the operational level, in order to study the performance measures of the systems controlled by different management strategies. The system is modeled as a timed discrete event dynamical system, whose evolution depends on the interaction of discrete events such as the arrival of components at the facilities, the departure of the transporters from the suppliers or the manufacturers, the start of assembly operations at the manufacturers. More precisely, generalized stochastic Petri nets model the system in a modular way and describe its behavior. Moreover, two well known broad policies are considered to manage the SC: make-to-stock and make-to-order. In order to compare the two management strategies and to show the effectiveness of the modeling technique, a case study is presented. Copyright © 2006 SoftMotor Ltd.},
    author_keywords={Discrete event systems; Management; Modeling; Performance evaluation; Petri nets; Supply chains},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Costantino, N., Dotoli, M., Falagario, M., Fanti, M. P. & Iacobellis, G. (2006) Evaluating the total costs of purchasing via probabilistic and fuzzy reasoning. IN Fuzzy Economic Review, 11.69-92.
    [Bibtex]
    @ARTICLE{Costantino200669,
    author={Costantino, N. and Dotoli, M. and Falagario, M. and Fanti, M.P. and Iacobellis, G.},
    title={Evaluating the total costs of purchasing via probabilistic and fuzzy reasoning},
    journal={Fuzzy Economic Review},
    year={2006},
    volume={11},
    number={1},
    pages={69-92},
    doi={10.25102/fer.2006.01.05},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015286388&doi=10.25102%2ffer.2006.01.05&partnerID=40&md5=d8957966363c53be3a282091ca99739b},
    affiliation={Politecnico di Bari, Italy},
    abstract={Transaction costs analysis is concerned with ways of aligning appropriate governance modes with the attributes of economic transactions. Nowadays transaction costs are universally accepted, despite the difficulty in measuring and quantifying them. Starting from the customary definition of transaction costs, this paper proposes a model for the buyer/seller relationship, focusing on the uncertainty characterizing the exchange and the connected costs. In particular, according to a well-known classification, the transaction costs connected to the purchasing phase are divided into ex ante (drafting and negotiating agreements) and ex post (monitoring and enforcing agree-ments) costs. More precisely, we propose to employ appropriate deterministic models for evaluating ex ante costs and suitable statistical distributions for ex post costs. Obviously, both such costs categories require the quantification of several parameters related to the buyer operating the transaction and to the uncertainty characterizing the buyer/ seller relationship. Hence, in order to correctly evaluate the buyer behavior, a fuzzy logic inference system is designned for synthesizing, starting from expert judgments, the required data to the transaction costs model. The reported simulation experiments show the effecttiveness of the proposed model in estimating the transaction costs and total costs associated with a generic transaction.},
    author_keywords={Customized product; Fuzzy logic; Probabilistic reasoning; Standardized product; Total costs of purchasing; Transaction costs analysis},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2006) On-line identification of discrete event systems: A case study IN 2006 IEEE International Conference on Automation Science and Engineering, CASE., 405-410.
    [Bibtex]
    @CONFERENCE{Dotoli2006405,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={On-line identification of discrete event systems: A case study},
    journal={2006 IEEE International Conference on Automation Science and Engineering, CASE},
    year={2006},
    pages={405-410},
    doi={10.1109/COASE.2006.326916},
    art_number={4120382},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-45149130035&doi=10.1109%2fCOASE.2006.326916&partnerID=40&md5=66d5a530efd4a57ab359004be731da79},
    affiliation={Department of Electrical and Electronic Engineering, Politecnico di Bari, Bari, Italy},
    abstract={The paper analyses an on-line identification strategy for Discrete Event Systems (DES) using Interpreted Petri Nets (IPN). The identifier stores a sequence of events and the corresponding output symbols and applies a recursive algorithm providing an IPN modeling the DES. Moreover, the identification procedure is based on the solution of an integer linear programming problem. In addition, we investigate on the conditions that lead to determine an IPN modeling the DES dynamics without error. Finally, simulation and analysis of a case study show the efficiency of the strategy. ©2006 IEEE.},
    author_keywords={Discrete event systems; Identification; Integer linear programming; Petri nets},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2006) Modelling distributed manufacturing systems via first order hybrid petri nets IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 44-49.
    [Bibtex]
    @CONFERENCE{Dotoli200644,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={Modelling distributed manufacturing systems via first order hybrid petri nets},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2006},
    volume={2},
    number={PART 1},
    pages={44-49},
    doi={10.3182/20060607-3-it-3902.00012},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-40949127627&doi=10.3182%2f20060607-3-it-3902.00012&partnerID=40&md5=900e4cc6ae1bda58cd29c0478e5c1336},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Italy},
    abstract={A Distributed Manufacturing System (DMS) is a collection of independent companies possessing complementary skills and integrated with transportation and storage systems. This paper proposes a new model for DMS employing first order hybrid Petri nets, i.e., Petri nets based on first order fluid approximation. More precisely, transporters and manufacturers are described by continuous transitions, buffers are continuous places and products are represented by continuous flows routing from manufacturers, buffers and transporters. Moreover, discrete events occurring stochastically in the system are considered to take into account the start of the retailer requests and the blocking of transports and raw material supply. With the aim of showing the model effectiveness, a DMS example is modelled and simulated under two different operative conditions. Copyright © 2006 IFAC.},
    author_keywords={Dynamic models; Manufacturing systems; Performance indices; Petri-nets; Simulation},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2006) On-line identification of discrete event systems by interpreted Petri nets IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 3040-3045.
    [Bibtex]
    @CONFERENCE{Dotoli20063040,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={On-line identification of discrete event systems by interpreted Petri nets},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2006},
    volume={4},
    pages={3040-3045},
    doi={10.1109/ICSMC.2006.384582},
    art_number={4274346},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548142248&doi=10.1109%2fICSMC.2006.384582&partnerID=40&md5=e6c11a6bac07fc58bb0b94492bc3a978},
    affiliation={IEEE, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={The paper proposes an on-line identification strategy for Discrete Event Systems (DES). The identifier stores a sequence of events and the corresponding output symbols. Moreover, by solving an integer linear programming problem, an identification procedure synthesizes an Interpreted Petri Net (IPN) modeling the DES. More precisely, we assume that the fixed numbers of places are given and that a finite sequence of transitions and the corresponding markings are completely or partially known. Moreover, the identification algorithm working in real-time identifies the IPN assuming the DES dynamics deterministic, i.e., the event occurrence from a given state yields only one new state. © 2006 IEEE.},
    author_keywords={Discrete event systems; Identification; Integer linear programming; Petri nets},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Mangini, A. M. (2006) An optimization approach for identification of Petri Nets IN Proceedings – Eighth International Workshop on Discrete Event Systems, WODES 2006., 332-337.
    [Bibtex]
    @CONFERENCE{Dotoli2006332,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M.},
    title={An optimization approach for identification of Petri Nets},
    journal={Proceedings - Eighth International Workshop on Discrete Event Systems, WODES 2006},
    year={2006},
    pages={332-337},
    doi={10.1109/wodes.2006.382528},
    note={cited By 12},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34250667850&doi=10.1109%2fwodes.2006.382528&partnerID=40&md5=8565b0d1bfaf4e03e2b322549a4cc2a9},
    affiliation={IEEE, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={The paper addresses the identification problem of discrete event systems by determining the structure and the initial marking of a Petri Net (PN) modeling the system. More precisely, we assume that the numbers of places and of transitions are given and that a finite sequence of transitions and the corresponding markings are completely or partially known. Hence, the conditions to univocally identify a pure PN are established. On the other hand, if the singleness of the identification problem solution can not be guaranteed, we introduce an approach based on the solution of an integer linear programming problem. The linear constraint definition utilizes the knowledge of the observed firing sequence and the properties imposed on the PN. © 2006 IEEE.},
    author_keywords={Discrete event systems; Identification; Integer linear programming; Petri nets},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Meloni, C. & Zhou, M. C. (2006) Design and optimization of integrated e-supply chain for agile and environmentally conscious manufacturing. IN IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 36.62-75.
    [Bibtex]
    @ARTICLE{Dotoli200662,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C. and Zhou, M.C.},
    title={Design and optimization of integrated e-supply chain for agile and environmentally conscious manufacturing},
    journal={IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans},
    year={2006},
    volume={36},
    number={1},
    pages={62-75},
    doi={10.1109/TSMCA.2005.859189},
    note={cited By 101},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-30444455739&doi=10.1109%2fTSMCA.2005.859189&partnerID=40&md5=9d912f9ffe27450390dc4cd42da399db},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, 70125 Bari, Italy; Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, United States; Laboratory of Complex Systems and Intelligence Science, Institute of Automation, CAS, Beijing 100080, China},
    abstract={An agile and environmentally conscious manufacturing paradigm refers to the ability to reconfigure a flexible system quickly, economically, and environmentally responsibly. In modern manufacturing enterprises, e-supply chains integrate Internet and web-based electronic market and are promising systems to achieve agility. A key issue in the strategic logistic planning of integrated e-supply chains (IESCs) is the configuration of the partner network. This paper proposes a single- and multiobjective optimization model to configure the network of IESCs. Considering an Internet-based distributed manufacturing system composed of different stages connected by material and information links, a procedure is presented to select the appropriate links. A set of performance indices is associated with the network links. Single-criterion and multicriteria optimization models are presented under structural constraint definitions. The integer linear programming (ILP) problem solution provides different network structures that allow to improve supply chain (SC) flexibility, agility, and environmental performance in the design process. The proposed optimization strategy is applied to two case studies describing two networks for desktop computer production. © 2006 IEEE.},
    author_keywords={Agile manufacturing; Computer integrated manufacturing; Integer linear programming; Optimization method; Supply chain; System analysis and design},
    document_type={Article},
    source={Scopus},
    }

2005

  • Dotoli, M., Fanti, M. P., Mangini, A. M. & Tempone, G. (2005) Fuzzy multi-objective optimization for network design of logistic and production systems IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA., 475-482.
    [Bibtex]
    @CONFERENCE{Dotoli2005475,
    author={Dotoli, M. and Fanti, M.P. and Mangini, A.M. and Tempone, G.},
    title={Fuzzy multi-objective optimization for network design of logistic and production systems},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2005},
    volume={1 2 VOLS},
    pages={475-482},
    art_number={1612562},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847291232&partnerID=40&md5=8f8cde691d6827bb90c053c68be08948},
    affiliation={Politecnico di Bari, Via Re David 200, 70 125 Bari, Italy},
    abstract={Global competition has given rise to Logistic and Production Systems (LPSs), that are distributed manufacturing systems integrating international logistics and information technologies with production. This paper builds upon an LPS network design model previously proposed by some of the authors. The recalled technique formulates and solves a multi-criteria optimization problem to select the partners in the different stages of the production chain and the links connecting them. In this paper, in order to rank the equally optimal Pareto solutions of such a problem, we propose to employ fuzzy multi-criteria optimization. Two fuzzification techniques and two different multicriteria methods are considered. In addition, the methodology is illustrated by way of a case study. Moreover, a discussion on the different advantages and limitations of the proposed techniques is provided. © 2005 IEEE.},
    author_keywords={Fuzzy logic; Logistic and production systems; Network design; Optimization; Performance indices},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2005) A generalized stochastic petri net model for management of distributed manufacturing systems IN Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC ’05., 2125-2130.
    [Bibtex]
    @CONFERENCE{Dotoli20052125,
    author={Dotoli, M. and Fanti, M.P.},
    title={A generalized stochastic petri net model for management of distributed manufacturing systems},
    journal={Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05},
    year={2005},
    volume={2005},
    pages={2125-2130},
    doi={10.1109/CDC.2005.1582475},
    art_number={1582475},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847191765&doi=10.1109%2fCDC.2005.1582475&partnerID=40&md5=7657f4e2cc93433f4daa4cc358d2a6b1},
    affiliation={IEEE, Italy; Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={A Distributed Manufacturing System (DMS) is a collection of independent companies possessing complementary skills and integrated with transportation and storage systems. This paper deals with the issues of modeling and managing a DMS. The system is modeled as a timed discrete event dynamical system by generalized stochastic Petri nets. Moreover, two well known broad policies are considered to manage the DMS: make-to-stock and make-to-order. In order to compare the two management techniques and to show the effectiveness of each method, a case study is presented. © 2005 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Dotoli, M. & Turchiano, B. (2005) Piecewise linear fuzzy sliding mode control. IN Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2955 LNAI.89-96.
    [Bibtex]
    @ARTICLE{Dotoli200589,
    author={Dotoli, M. and Turchiano, B.},
    title={Piecewise linear fuzzy sliding mode control},
    journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
    year={2005},
    volume={2955 LNAI},
    pages={89-96},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744819206&partnerID=40&md5=8ac02a77c38c49e19700eaf72b3f85fc},
    affiliation={Dipartimento di Electrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={We present a novel fuzzy sliding mode control technique for a class of second order dynamical systems based on a piecewise linear sliding manifold. The proposed approach benefits from a reduction in the control action magnitude with respect to classical sliding mode control strategies, enhancing the effectiveness of such strategies under a saturated control input. In addition, employing the proposed fuzzy rule based algorithm results in smooth dynamics when the trajectory is in the vicinities of the sliding manifold. © Springer-Verlag Berlin Heidelberg 2006.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Dotoli, M., Fanti, M. P. & Iacobellis, G. (2005) Validation of an Urban traffic network model using Colored Timed Petri Nets IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 1347-1352.
    [Bibtex]
    @CONFERENCE{Dotoli20051347,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G.},
    title={Validation of an Urban traffic network model using Colored Timed Petri Nets},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2005},
    volume={2},
    pages={1347-1352},
    note={cited By 18},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-27944461806&partnerID=40&md5=8e62875cc97fed230116bd127dd2cdb7},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy},
    abstract={This paper validates a Colored Timed Petri Net (CTPN) model proposed to describe urban traffic networks. In particular, a CTPN models the dynamics of signalized traffic networks and timed Petri nets describe the traffic lights controlling the area. To this aim, the modeling framework is applied to a real intersection located in Bari, Italy. Discrete event simulations of the controlled intersection test the signal timing plan under different traffic scenarios and give a confirmation of the model capability to correctly predict the traffic performance. © 2005 IEEE.},
    author_keywords={Colored timed Petri nets; Modeling; Performance measures; Urban systems; Validation},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Meloni, C. & Zhou, M. C. (2005) A multi-level approach for network design of integrated supply chains. IN International Journal of Production Research, 43.4267-4287.
    [Bibtex]
    @ARTICLE{Dotoli20054267,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C. and Zhou, M.C.},
    title={A multi-level approach for network design of integrated supply chains},
    journal={International Journal of Production Research},
    year={2005},
    volume={43},
    number={20},
    pages={4267-4287},
    doi={10.1080/00207540500142316},
    note={cited By 76},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-30444454095&doi=10.1080%2f00207540500142316&partnerID=40&md5=3337a1cf0287a0e4c7646a10c75554f6},
    affiliation={Politecnico di Bari, Dipartimento di Elettrotecnica ed Elettronica, Via Re David 200, 70125 Bari, Italy; New Jersey Institute of Technology, Department of Electrical and Computer Engineering, Newark, NJ 07102, United States},
    abstract={Integrated e-supply chains are distributed manufacturing systems composed of various resources belonging to different companies and integrated with streamlined material, information and financial flow. The configuration of the supply-chain network is essential for business to pursue a competitive advantage and to meet the market demand. This paper proposes a three-level hierarchical methodology for a supply chain network design at the planning-management level. The integrated supply chain network is described as a set of consecutive stages connected by communication and transportation links, and the configuration aim consists in selecting the actors of the stages on the basis of transportation connection and information flow. More precisely, the first level evaluates the performance of the entities candidate to join the network and singles out efficient elements. The second level solves a multi-criteria integer linear optimization problem to configure the network. Finally, the third level is devoted to evaluating and validating the solution proposed in the first two levels. The overall decision process is the result of the interaction of the modules that are dedicated to each decision level. The paper presents some optimization techniques to synthesize the first two levels and illustrates the hierarchical decision process by way of a case study.},
    author_keywords={Distributed manufacturing systems; Integrated e-supply chains; Network design; Optimization},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2005) A coloured Petri net model for automated storage and retrieval systems serviced by rail-guided vehicles: A control perspective. IN International Journal of Computer Integrated Manufacturing, 18.122-136.
    [Bibtex]
    @ARTICLE{Dotoli2005122,
    author={Dotoli, M. and Fanti, M.P.},
    title={A coloured Petri net model for automated storage and retrieval systems serviced by rail-guided vehicles: A control perspective},
    journal={International Journal of Computer Integrated Manufacturing},
    year={2005},
    volume={18},
    number={2-3},
    pages={122-136},
    doi={10.1080/0951192052000288233},
    note={cited By 45},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-27944439698&doi=10.1080%2f0951192052000288233&partnerID=40&md5=b53075bf66067ae7616ef24e32c35622},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David, 200, 70125 Bari, Italy},
    abstract={An Automated Storage and Retrieval System (AS/RS) automatically stores incoming material and retrieves stored parts with no direct human handling. This paper proposes a modular and unified modelling framework for heterogeneous automated storage and retrieval systems, comprising rail guided vehicles and narrow aisle cranes. We employ coloured timed Petri nets, representing a concise and computationally efficient tool for modelling the system dynamic behaviour, particularly suitable for real-time control implementation. Indeed, the model can be utilized in a discrete event simulation to apply control policies in order to solve scheduling problems, as well as to avoid deadlock and collision occurrences. © 2005 Taylor & Francis Ltd.},
    author_keywords={Automated storage and retrieval systems; Coloured timed petri nets; Real-time control},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P., Meloni, C. & Zhou, M. C. (2005) Network design of integrated e-supply chain for agile manufacturing IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 31-36.
    [Bibtex]
    @CONFERENCE{Dotoli200531,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C. and Zhou, M.C.},
    title={Network design of integrated e-supply chain for agile manufacturing},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2005},
    volume={38},
    number={1},
    pages={31-36},
    doi={10.3182/20050703-6-cz-1902.01489},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960727501&doi=10.3182%2f20050703-6-cz-1902.01489&partnerID=40&md5=47cecadcd65b0d45a600ccce4b161679},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy; Dep. of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, United States},
    abstract={Supply chains are distributed manufacturing systems composed of various resources belonging to different companies. The configuration of the supply chain network, integrated with Internet and web-based electronic market places, is essential for business to pursue a competitive advantage. This paper develops a model describing the integrated e-supply chain network and formulates a multi-criteria integer linear optimization problem to select the candidates and the links connecting the stages of the e-supply chain. Hence, some multi-criteria objective functions are defined and suited constraints are introduced on the basis of the digraph modelling the supply chain network. The proposed methodology is illustrated by way of a case study describing a network for desktop computer production. Copyright © 2005 IFAC.},
    author_keywords={Agile manufacturing; Manufacturing systems; Networks; Optimization; Performance indices},
    document_type={Conference Paper},
    source={Scopus},
    }

2004

  • [DOI] Brunettil, C. & Dotoli, M. (2004) Rule-Based decoupled fuzzy sliding mode control for inverted pendulum Swing-Up IN IEEE International Symposium on Industrial Electronics., 495-500.
    [Bibtex]
    @CONFERENCE{Brunettil2004495,
    author={Brunettil, C. and Dotoli, M.},
    title={Rule-Based decoupled fuzzy sliding mode control for inverted pendulum Swing-Up},
    journal={IEEE International Symposium on Industrial Electronics},
    year={2004},
    volume={1},
    pages={495-500},
    doi={10.1109/ISIE.2004.1571857},
    art_number={1571857},
    note={cited By 3},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34249094952&doi=10.1109%2fISIE.2004.1571857&partnerID=40&md5=282a7d773d902529a98fb3b80f119d79},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari, Italy},
    abstract={In this paper we introduce a novel decoupled fuzzy sliding mode (DFSM) controller for swinging-up an inverted pendulum. In the proposed technique the control objective is decomposed into two sub-tasks: swing-up and stabilization. Accordingly, first a DFSM controller stabilizing the poles is synthesized. Next, a rule-based regulator dealing with the task of entering a stabilization zone is svnthesized. Two different structures are proposed for the swing-up controller. In the first strategy the control action is obtained by a crisp approach, while in the second one the controller is based on fuzzy rules. Experimental tests show, the effectiveness of the proposed strategy for swinging-up an inverted pendulum with restricted cart travel and limited control action.©2004 IEEE.},
    author_keywords={Decoupled Fuzzy Sliding Mode Control; Fuzzy sliding Mode Control; Inverted Pendulum on a Cart; Stabilization; Swing-up},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Meloni, C. (2004) Candidate selection for network design of distributed manufacturing systems IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 1613-1618.
    [Bibtex]
    @CONFERENCE{Dotoli20041613,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C.},
    title={Candidate selection for network design of distributed manufacturing systems},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2004},
    volume={2},
    pages={1613-1618},
    doi={10.1109/ICSMC.2004.1399862},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-15744388734&doi=10.1109%2fICSMC.2004.1399862&partnerID=40&md5=3879606fdd5bd17a1cd000b6c126b155},
    affiliation={Dipto. di Elettrotecnica, Politecnico di Bari, Bari, Italy},
    abstract={Supply chains are distributed manufacturing systems composed of various resources belonging to different companies. Efficient design of the supply chain network is essential for business to pursue a competitive advantage. In this paper a hierarchical methodology previously outlined by the authors is considered for supply chain network design. In the first level, the performance of the entities candidate to join the network is evaluated and efficient elements are singled out. The second level is aimed at developing a model to configure the network. Finally, the third level is devoted to validating the solution proposed in the first two levels. The paper focuses on the first level and proposes a four-step procedure to select the candidates in the supply chain stages. Some optimization multi-criteria techniques are considered and the proposed decision level is illustrated by way of a case study describing a network for desktop computer production. © 2004 IEEE.},
    author_keywords={Candidate selection; Decision making; Distributed manufacturing; Network design; Supply chain management},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Fanti, M. P. & Iacobellis, G. (2004) Comparing deadlock detection and avoidance policies in automated storage and retrieval systems IN Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics., 1607-1612.
    [Bibtex]
    @CONFERENCE{Dotoli20041607,
    author={Dotoli, M. and Fanti, M.P. and Iacobellis, G.},
    title={Comparing deadlock detection and avoidance policies in automated storage and retrieval systems},
    journal={Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics},
    year={2004},
    volume={2},
    pages={1607-1612},
    doi={10.1109/ICSMC.2004.1399861},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-15744380812&doi=10.1109%2fICSMC.2004.1399861&partnerID=40&md5=e5a224d4b0fad5c785eb5600a9d8242b},
    affiliation={Dipto. di Elettrotecnica, Politecnico di Bari, Bari, Italy},
    abstract={This paper focuses on real time control of Automated Storage and Retrieval Systems (AS/RSs), that is in charge of making decisions on resource allocation and scheduling choices. In these systems deadlock conditions may occur when parts require a set of resources in a circular wait situation. We model a generic multi-product AS/RSs serviced by rail guided vehicles as a discrete event system. Next, we compare two different real time deadlock solution strategies for AS/RSs: a deadlock avoidance strategy previously proposed by one of the authors and a deadlock detection/recovery strategy, proposed in the related literature. The considered control strategies are compared by means of a simulation of a case study. © 2004 IEEE.},
    author_keywords={Automated storage and retrieval systems; Deadlock avoidance; Deadlock detection; Discrete event simulation; Real time control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Dotoli, M., Fanti, M. P. & Meloni, C. (2004) Coordination and real time optimization of signal timing plans for urban traffic control IN Conference Proceeding – IEEE International Conference on Networking, Sensing and Control., 1069-1074.
    [Bibtex]
    @CONFERENCE{Dotoli20041069,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C.},
    title={Coordination and real time optimization of signal timing plans for urban traffic control},
    journal={Conference Proceeding - IEEE International Conference on Networking, Sensing and Control},
    year={2004},
    volume={2},
    pages={1069-1074},
    note={cited By 11},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-2942670188&partnerID=40&md5=3c36cdf2ba797cacbfb56a366431d4b5},
    affiliation={Dipartimento di Elettrotecnica, Politecnico di Bari, Bari, Italy},
    abstract={An effective method to improve traffic flow in urban areas is synchronizing the traffic signals at the coordinated intersections. This paper focuses on the problem of synchronization of subsequent intersections in a signalized urban area. Adopting an optimization model proposed in literature, the paper investigates the determination of the offset between two signals, i.e., the time displacements of green splits along a movement direction. On the basis of traffic observations, appropriate selection of offset in two coordinated intersections located in an urban area is performed under different congestion scenarios. Results show the efficiency of the proposed method to allow uninterrupted flow of traffic.},
    author_keywords={Green phases optimization; Offset determination; Signalized urban area; Traffic control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2004) Coloured timed Petri net model for real-time control of automated guided vehicle systems. IN International Journal of Production Research, 42.1787-1814.
    [Bibtex]
    @ARTICLE{Dotoli20041787,
    author={Dotoli, M. and Fanti, M.P.},
    title={Coloured timed Petri net model for real-time control of automated guided vehicle systems},
    journal={International Journal of Production Research},
    year={2004},
    volume={42},
    number={9},
    pages={1787-1814},
    doi={10.1080/00207540410001661364},
    note={cited By 39},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-1942536568&doi=10.1080%2f00207540410001661364&partnerID=40&md5=9d7743286dd86cc38a18992d8dfd27a3},
    affiliation={Dipartimento di Elettrotecnica, Politecnico di Bari, Via Re David 200, I-70125, Bari, Italy},
    abstract={Automated guided vehicle systems (AGVS) are material-handling devices representing an efficient and flexible option for products management in automated manufacturing systems. In AGVS, vehicles follow a guide-path while controlled by a computer that assigns the route, tasks, velocity, etc. Moreover, the design of AGVS has to take into account some management problems such as collisions and deadlocks. The paper presents a novel control strategy to avoid deadlock and collisions in zone-controlled AGVS. In particular, the control scheme manages the assignments of new paths to vehicles and their acquisition of the next zone. Moreover, the use of coloured Petri nets is proposed to model the dynamics of AGVS and implement the control strategy stemming from the knowledge of the system state. Additionally, extending the coloured Petri net model with a time concept allows investigation of system performance. Several simulations of an AGVS with varying fleet size while measuring appropriate performance indices show the effectiveness of the proposed control strategy compared with an alternative policy previously presented.},
    document_type={Article},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2004) An urban traffic network model via coloured timed petri nets IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 207-212.
    [Bibtex]
    @CONFERENCE{Dotoli2004207,
    author={Dotoli, M. and Fanti, M.P.},
    title={An urban traffic network model via coloured timed petri nets},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2004},
    volume={37},
    number={18},
    pages={207-212},
    doi={10.1016/S1474-6670(17)30747-4},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051827290&doi=10.1016%2fS1474-6670%2817%2930747-4&partnerID=40&md5=0f9a5a59070094d9b6b85645f801e0b7},
    affiliation={Dipartimento di Elettrolecnica Ed Elettronica, Polilecnico di Bari, Via Re David 200, Bari, 70125, Italy},
    abstract={This paper deals with modelling of traffic networks for real time control purposes. A modular framework based on coloured timed Petri nets is proposed to model the dynamics of signalized traffic network systems: places represent link cells and crossing sections, tokens are vehicles and token colours represent the routing of the corresponding vehicle. In addition, an ordinary timed Petri net models the signal timing plan controlling the area. The proposed modelling framework is applied to a real intersection located in Bari, Italy. A discrete event simulation of the controlled intersection validates the model and tests the signal timing plan obtained by an optimization strategy presented in the related literature. © 2004 IFAC.},
    author_keywords={Discrete event systems; Modelling; Petri-nets; Road traffic; Traffic control},
    document_type={Conference Paper},
    source={Scopus},
    }

2003

  • Dotoli, M., Fanti, M. P., Meloni, C. & Zhou, M. C. (2003) A decision support system for the supply chain configuration IN Proceedings of the IEEE International Conference on Systems, Man and Cybernetics., 2667-2672.
    [Bibtex]
    @CONFERENCE{Dotoli20032667,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C. and Zhou, M.C.},
    title={A decision support system for the supply chain configuration},
    journal={Proceedings of the IEEE International Conference on Systems, Man and Cybernetics},
    year={2003},
    volume={3},
    pages={2667-2672},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0242552830&partnerID=40&md5=62fdf601b57939ca4dd7d107c6c1ce3f},
    affiliation={Dip. di Elettrotecnica ed Elettron., Politecnico di Bari, Bari, Italy; Dep. of Electrical and Computer Eng., New Jersey Inst. of Technology, Newark, NJ, United States},
    abstract={The design of a supply chain network provides the main structure for supply chain operations, since the network is a key element in the competitiveness and investments of an extended production system. The configuration of the network is essential for business to pursue a competitive advantage. We adopt a methodology based on three layers. In the first layer, the performance of the entities candidate to join the network is evaluated and efficient elements are individuated. The second layer develops a model to configure the network. Finally, the third layer is devoted to evaluate and validate the solution proposed in the first two levels. The overall decision process is the result of the interaction of the modules dedicated to each decision layer.},
    author_keywords={Decision support systems; Network design; Supply chain management},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Dotoli, M., Fanti, M. P. & Meloni, C. (2003) Real time optimization of traffic signal control: Application to coordinated intersections IN Proceedings of the IEEE International Conference on Systems, Man and Cybernetics., 3288-3295.
    [Bibtex]
    @CONFERENCE{Dotoli20033288,
    author={Dotoli, M. and Fanti, M.P. and Meloni, C.},
    title={Real time optimization of traffic signal control: Application to coordinated intersections},
    journal={Proceedings of the IEEE International Conference on Systems, Man and Cybernetics},
    year={2003},
    volume={4},
    pages={3288-3295},
    note={cited By 14},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0242552639&partnerID=40&md5=00d2c8314d0ed059fa2464fe4e53d678},
    affiliation={Dipto. di Elettrotecn. ed Elettron., Politecnico di Bari, Bari, Italy},
    abstract={This paper investigates the issue of urban traffic signal control using a real time optimization model for signalized areas proposed in the related literature. The adopted model is modified to take into account the traffic scenarios, the different types of vehicles in the area, as well as pedestrians. The technique is applied to a real case study, consisting of two coordinated intersections located in the urban area of Bari (Italy). On the basis of traffic observations, optimal selection of the phases in the semaphoric cycle is performed under different congestion scenarios. Results show the ability of the strategy to minimize the vehicle queue lengths in the area.},
    author_keywords={Green phases optimization; Semaphoric cycle; Signalized area; Traffic control; Urban traffic},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2003) Performance of two real time control strategies for AGV systems: A case study IN European Control Conference, ECC 2003., 3171-3176.
    [Bibtex]
    @CONFERENCE{Dotoli20033171,
    author={Dotoli, M. and Fanti, M.P.},
    title={Performance of two real time control strategies for AGV systems: A case study},
    journal={European Control Conference, ECC 2003},
    year={2003},
    pages={3171-3176},
    doi={10.23919/ecc.2003.7086527},
    art_number={7086527},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949111912&doi=10.23919%2fecc.2003.7086527&partnerID=40&md5=37b20fa0d244bb4ca77b90f6985aca18},
    affiliation={Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, Bari, 70125, Italy},
    abstract={Real time control of material handling devices is essential to guarantee efficiency and flexibility of automated manufacturing systems. This paper presents a performance based comparison of two control policies previously presented by one of the authors to avoid deadlock and collisions in zone controlled Automated Guided Vehicle Systems (AGVSs). Coloured Timed Petri Nets are used to model the dynamics of AGVSs and implement the control strategies stemming from the knowledge of the system state. Several simulations of an AGVS with varying fleet size show the effectiveness of one of the considered control strategies compared to the alternative policy. © 2003 EUCA.},
    author_keywords={Automated guided vehicle systems; Coloured timed Petri nets; Deadlock avoidance; Discrete event simulation; Real time control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Fanti, M. P. (2003) Performance-based comparison of control policies for automated storage and retrieval systems modelled by coloured Petri nets IN IEEE International Conference on Emerging Technologies and Factory Automation, ETFA., 299-306.
    [Bibtex]
    @CONFERENCE{Dotoli2003299,
    author={Dotoli, M. and Fanti, M.P.},
    title={Performance-based comparison of control policies for automated storage and retrieval systems modelled by coloured Petri nets},
    journal={IEEE International Conference on Emerging Technologies and Factory Automation, ETFA},
    year={2003},
    volume={1},
    number={January},
    pages={299-306},
    doi={10.1109/ETFA.2003.1247721},
    art_number={1247721},
    note={cited By 10},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938546339&doi=10.1109%2fETFA.2003.1247721&partnerID=40&md5=a9fe6d6c02ddf626de46af5112688fff},
    affiliation={Dipartimento di Elettrotecnica Ed Elettronica, Politecnico di Bari, Via Re David 200, Bari, 70125, Italy},
    abstract={The industrial manufacturing environment is nowadays characterized by fierce global competition, rapid market changes and short product life cycles. Such a complex scenario originated a vast demand for sophisticated techniques guaranteeing adequate planning and control of warehouses. A widely used solution is to adopt Automated Storage and Retrieval Systems (AS/RSs). A typical AS/RS comprises a number of parallel aisles with storage racks, serviced by automated stacker cranes and rail guided vehicles. This paper compares several management strategies addressing the system operational control, i.e., dealing with the AS/RS real time behaviour. A common coloured timed Petri net models the system and the controlled AS/RS operation is highlighted by way of several discrete event simulations carried out in the Matlab-Stateflow software environment. The proposed control policies are compared and discussed on the basis of appropriate performance indices. © 2003 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Lino, P. & Turchiano, B. (2003) A decoupled fuzzy sliding mode approach to swing-up and stabilize an inverted pendulum IN IFAC Proceedings Volumes (IFAC-PapersOnline)., 113-118.
    [Bibtex]
    @CONFERENCE{Dotoli2003113,
    author={Dotoli, M. and Lino, P. and Turchiano, B.},
    title={A decoupled fuzzy sliding mode approach to swing-up and stabilize an inverted pendulum},
    journal={IFAC Proceedings Volumes (IFAC-PapersOnline)},
    year={2003},
    volume={36},
    number={18},
    pages={113-118},
    doi={10.1016/S1474-6670(17)34654-2},
    note={cited By 6},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902000954&doi=10.1016%2fS1474-6670%2817%2934654-2&partnerID=40&md5=7a0b9376e0cf7ee5685ee6e526aae86b},
    affiliation={Dipartimento di Elettrotecnica Ed Eletlronica, Politecnico di Bari, Via Re David 200, Bari, 70125, Italy},
    abstract={In this paper we present a novel decoupled fuzzy sliding mode (DFSM) strategy for swinging-up an inverted pendulum. In the proposed technique the control objective is decomposed into two sub-tasks, i.e., swing-up and stabilization. Accordingly, first a DFSM controller stabilizing the pole is synthesized and optimised via genetic algorithms. Next, a DFSM controller with a piecewise linear sliding manifold is synthesized and optimised, dealing with the task of entering the stabilization zone. Numerical simulations show the effectiveness of the proposed controller for a model encompassing friction as well as a limited control action and a restricted cart travel. © 2003 IFAC.},
    author_keywords={Decoupled subsystems; Fuzzy control; Genetic algorithms; Nonlinear systems; Sliding mode control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. (2003) Fuzzy sliding mode control with piecewise linear switching manifold. IN Asian Journal of Control, 5.528-542.
    [Bibtex]
    @ARTICLE{Dotoli2003528,
    author={Dotoli, M.},
    title={Fuzzy sliding mode control with piecewise linear switching manifold},
    journal={Asian Journal of Control},
    year={2003},
    volume={5},
    number={4},
    pages={528-542},
    doi={10.1111/j.1934-6093.2003.tb00170.x},
    note={cited By 5},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-2942618414&doi=10.1111%2fj.1934-6093.2003.tb00170.x&partnerID=40&md5=56eeb4322e87edb24e4af810595afc62},
    affiliation={Dipartimento di Elettrotecnica, Politecnico di Bari Via Re David, 200-70125 Bari, Italy},
    abstract={Variable Structure Control (VSC) has been successfully established in control systems engineering in the past two decades. Recently, Fuzzy Sliding Mode Control (FSMC) techniques have drawn the attention of the scientific community, due to their effectiveness in reducing the typical chattering phenomenon arising in VSC. We present a novel FSMC technique for a class of second order dynamical systems based on a piecewise linear sliding manifold. The proposed approach enhances the effectiveness of VSC in the presence of a saturated control input. In addition, employing the proposed VSC with fuzzy rule based algorithms results in smooth dynamics when the trajectory is in the vicinity of the switching manifold, as opposed to the typical chattering arising under classical VSC. After illustrating the proposed strategy on a simple design example, the approach is applied to an inverted pendulum, a well-known benchmark for automatic control techniques. The effectiveness of the technique is shown both by means of simulation tests and experiments on a lab equipment. Future research directions include the extension of the technique in the presence of uncertainties in the plant model.},
    author_keywords={Fuzzy sliding mode control; Inverted pendulum; Nonlinear systems; Switching surface; Variable structure control},
    document_type={Article},
    source={Scopus},
    }

2002

  • Cupertino, F., Dotoli, M., Giordano, V., Maione, B. & Salvatore, L. (2002) Fuzzy control experiments on DC drives using various inference connectives IN IEEE International Conference on Fuzzy Systems., 52-57.
    [Bibtex]
    @CONFERENCE{Cupertino200252,
    author={Cupertino, F. and Dotoli, M. and Giordano, V. and Maione, B. and Salvatore, L.},
    title={Fuzzy control experiments on DC drives using various inference connectives},
    journal={IEEE International Conference on Fuzzy Systems},
    year={2002},
    volume={1},
    pages={52-57},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036454069&partnerID=40&md5=aa981671262091b57f2585038048d64c},
    affiliation={Dipartimento di Elettrotecnica, Politecnico di Bari, Via Re David, 200, 70125 Bari, Italy},
    abstract={In this paper we investigate the functionality of fuzzy inference connectives for control. In particular, we employ selected conjunction, implication and aggregation operators, extensively used in the specialized literature, for speed control of a DC drive. The problem is approached from a practical perspective: we analyze the effect of the different connectives on the rise time performance index of the speed response obtained both in simulation and laboratory tests. Rather than the mere optimization of the DC drive, the object of the paper is the analysis of the key Fuzzy Controller (FC) features, in order to carry out an in-depth study of the FC operation and take full advantage of its potential.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Dotoli, M. & Fanti, M. P. (2002) Modeling of an AS/RS serviced by rail-guided vehicles with colored petri nets: A control perspective IN Proceedings of the IEEE International Conference on Systems, Man and Cybernetics., 160-165.
    [Bibtex]
    @CONFERENCE{Dotoli2002160,
    author={Dotoli, M. and Fanti, M.P.},
    title={Modeling of an AS/RS serviced by rail-guided vehicles with colored petri nets: A control perspective},
    journal={Proceedings of the IEEE International Conference on Systems, Man and Cybernetics},
    year={2002},
    volume={3},
    pages={160-165},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037670107&partnerID=40&md5=a333a442bf1c4576e09002880b69aa89},
    affiliation={Dipartimento di Elettrotecnica, Politecnico di Bari, Via Re David, 200, 70125 Bari, Italy},
    abstract={An Automated Storage and Retrieval System (AS/RS) automatically stores incoming material and retrieves stored parts with no direct human handling. This paper proposes a modular and unified modeling framework for heterogeneous automated storage and retrieval systems, comprising rail guided vehicles and narrow aisle cranes. We employ colored timed Petri nets, representing a concise and computationally efficient tool for modeling the system dynamic behavior, particularly suitable for real time control implementation. Indeed, the model can be utilized in a discrete event simulation to apply control policies in order to solve scheduling problems, as well as to avoid deadlock and collision occurrences.},
    author_keywords={Automated storage and retrieval systems; Colored timed Petri nets; Real time control},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Gattagrisi, M., Pisani, C. D. & Turchiano, B. (2002) Automatic changeover of unwinding coils in copper wires stranding machines: A case study IN IECON Proceedings (Industrial Electronics Conference)., 2491-2496.
    [Bibtex]
    @CONFERENCE{Dotoli20022491,
    author={Dotoli, M. and Gattagrisi, M. and Pisani, C.D. and Turchiano, B.},
    title={Automatic changeover of unwinding coils in copper wires stranding machines: A case study},
    journal={IECON Proceedings (Industrial Electronics Conference)},
    year={2002},
    volume={3},
    pages={2491-2496},
    doi={10.1109/IECON.2002.1185365},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036957151&doi=10.1109%2fIECON.2002.1185365&partnerID=40&md5=be2677d68a525b754b3094e4b7c1bbe3},
    affiliation={Dipto. Elettrotecnica ed Elettron., Politecnico di Bari, Via Re David, 200, 70125, Bari, Italy; Divisione Italia, Pirelli Cavi e Sistemi SpA, Contrada Torre del Tuono, 70054, Giovinazzo (BA), Italy},
    abstract={In this paper we design an automatic changeover system for unwinding coils in copper wires stranding machines for energy cables. The system is illustrated by means of a case study: the stranding department at one of the plants of Pirelli Cables & Systems, the leader manufacturer in the field in Italy. Motivations for the study are increase in production, improvement in manpower utilization and decrease in waste material. Two alternative changeover algorithms are proposed and highlighted by means of simulations. Additionally, three different technical solutions are suggested, with several recommendations for implementations. Finally, a performance evaluation is carried out, investigating the impact of the study on the plant.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M. & Lino, P. (2002) Fuzzy adaptive control of a variable geometry turbocharged diesel engine IN IEEE International Symposium on Industrial Electronics., 1295-1300.
    [Bibtex]
    @CONFERENCE{Dotoli20021295,
    author={Dotoli, M. and Lino, P.},
    title={Fuzzy adaptive control of a variable geometry turbocharged diesel engine},
    journal={IEEE International Symposium on Industrial Electronics},
    year={2002},
    volume={4},
    pages={1295-1300},
    doi={10.1109/isie.2002.1025977},
    art_number={1025977},
    note={cited By 4},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-63049123943&doi=10.1109%2fisie.2002.1025977&partnerID=40&md5=56238212cf4f75bbe5511c3a462e1fbc},
    affiliation={Dept. OfEl. Eng., Tech. Univ. of Bari, 72015 Ban, Italy; DEES of Univ. of Catania, 95125 Catania, Italy},
    abstract={A fuzzy control approach for the adjustment of the boost pressure of a Variable Geometry Turbine (VGT) supercharged Diesel engine is proposed. The VGT adapts the boost pressure to the target reference for different enginc speeds by adjusting the turbine blades, resulting in a reduction of both fuel consumption and gas emissions, while preserving efficiency. We design an adaptive fuzzy control law according to the following steps: first, a standard PI controller is devised, then an equivalent fuzzy controller is built, finally the fuzzy controller is made non linear by tuning its input/output parameters using an optimization algorithm. Further, modification of the membership functions is investigated. A large number of simulations on a zero-dimensional model of the engine prove the effectiveness of the proposed control strategy with reference to stability and transient performance in comparison with standard PI techniques. © 2002 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }

2001

  • Dotoli, M., Maione, B., Naso, D. & Turchiano, B. (2001) Fuzzy sliding mode control for inverted pendulum swing-up with restricted travel IN IEEE International Conference on Fuzzy Systems., 753-756.
    [Bibtex]
    @CONFERENCE{Dotoli2001753,
    author={Dotoli, M. and Maione, B. and Naso, D. and Turchiano, B.},
    title={Fuzzy sliding mode control for inverted pendulum swing-up with restricted travel},
    journal={IEEE International Conference on Fuzzy Systems},
    year={2001},
    volume={2},
    pages={753-756},
    note={cited By 7},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036343235&partnerID=40&md5=bce5d14c9a31ac1797cd83c3a76e5a9d},
    affiliation={Dipto. Elettrotecnica Elletronica, Politecnico di Bari, Via Re David, 200 - 70125 Bari, Italy},
    abstract={Swinging up an inverted pendulum is a common benchmark task for the investigation of automatic control techniques. In this paper we introduce a new Fuzzy Sliding Mode (FSM) technique for swinging-up an inverted pendulum and controlling the connected cart, while minimizing the swing-up time, the cart travel and the required control action. The FSM technique adopted is based on a piecewise linear sliding manifold that is bent towards the far off zones of the pole phase plane, thus enabling the reduction of the control action. Further, in order to limit the cart overshoot two variable gains were inserted in the cart controller. We tested our technique both on a nonlinear model, including friction, and on a lab equipment: we report both on the upwards stabilization and swing-up. The pendulum upwards equilibrium point was made globally stable.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Dotoli, M., Axer, H., Berks, G., Südfeld, D., Prescher, A., Keyserlingk, D. G. V., Krombach, G. A., Dounias, G., Panagi, G. M., Tselentis, G. & Jantzen, J. (2001) Teaching soft computing in medicine: An interdisciplinary experiment IN Annual Conference of the North American Fuzzy Information Processing Society – NAFIPS., 1979-1984.
    [Bibtex]
    @CONFERENCE{Dotoli20011979,
    author={Dotoli, M. and Axer, H. and Berks, G. and Südfeld, D. and Prescher, A. and Keyserlingk, D.G.V. and Krombach, G.A. and Dounias, G. and Panagi, G.M. and Tselentis, G. and Jantzen, J.},
    title={Teaching soft computing in medicine: An interdisciplinary experiment},
    journal={Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS},
    year={2001},
    volume={4},
    pages={1979-1984},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035792445&partnerID=40&md5=95f185aa6ad60a85c1e43de60c0d88b3},
    affiliation={Dept. of Elec. and Electronic Eng., Politecnico di Bari, Bari, Italy; Department of Anatomy I, RWTH Aachen, Aachen, Germany; Department of Radiology, RWTH Aachen, Aachen, Germany; Dept. of Business Administration, University of the Aegean, Chios, Greece; Skilitsion General Hospital of Chios, Chios, Greece; MIT GmbH, Aachen, Germany; Department of Automation, Technical University of Denmark, Lyngby, Denmark},
    abstract={The objective of this study was to test the feasibility of teaching some of the many engineering applications within medicine to medical students together with engineering students. A summer school was created in a block-course design that lasted one week. Different teaching modules were divided into lecture and exercise sessions. Several engineering topics combined with medical examples were presented. Half of the students were engineering or computer science students and the other half medical students. The staff of lecturers was also mixed. At the end of the course the students had to pass a web-based examination and fill out an online evaluation-sheet. Most of the students regarded the co-operation between physicians and engineers as very important. The major challenge of the course was the interdisciplinary aspect of teaching: medical students had to learn about methods of information technology and engineering students were exposed to medical information analysis. Teaching both groups of students together resulted in a close collaboration between both groups. The paper highlights some pitfalls and gives recommendations for a similar type of course. In particular, the main recommendation for the future, given the technological advances in medicine, is a closer co-operation with disciplines such as information technology.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • [DOI] Dotoli, M., Maione, G., Naso, D. & Turchiano, B. (2001) Genetic identification of dynamical systems with static nonlinearities IN SMCia 2001 – Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications., 65-70.
    [Bibtex]
    @CONFERENCE{Dotoli200165,
    author={Dotoli, M. and Maione, G. and Naso, D. and Turchiano, B.},
    title={Genetic identification of dynamical systems with static nonlinearities},
    journal={SMCia 2001 - Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications},
    year={2001},
    pages={65-70},
    doi={10.1109/SMCIA.2001.936730},
    art_number={936730},
    note={cited By 21},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952771046&doi=10.1109%2fSMCIA.2001.936730&partnerID=40&md5=1c49976e5d4ecedc7f1c89f3b95314de},
    affiliation={Dip. di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David, 200, Bari, 70125, Italy; Dip. di Ingegneria dell'Innovazione, Università degli Studi di Lecce, Via Monteroni, Lecce, 73100, Italy},
    abstract={This paper describes the application of genetic algorithms (GA) to identify a class of nonlinear SISO models composed of a memoryless nonlinearity in series with a linear transfer function. In contrast with recent literature on the considered problem, we encode in the chromosomes also the structure of the model (type of nonlinearity, number of zeros and poles), and use the GA to identify both the optimal structure and the associated parameters. New operators for mutation and crossover to deal with chromosomes with variable length are introduced. The effectiveness of the approach is tested on a set of case studies derived from literature. © 2001 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }