prof.dr.ir. M.R.K. Mes (Martijn)

Martijn Mes is hoogleraar transport en logistiek management (TLM) en voorzitter van de vakgroep Industrial Engineering en Business Information Systems (IEBIS) van de Universiteit Twente (UT). Hij haalde zijn mastertitel Toegepaste Wiskunde (2002), deed zijn promotieonderzoek bij de faculteit Management and Governance bij de UT (2008) en zijn postdoc aan Princeton University (2009). Martijn is actief op de volgende gebieden: goederenvervoer, synchromodaal transport, multi-agent systems (MAS), beprijzing van transport en elektronische marktplaatsen voor transport, dynamische voertuigroutering (VRP & DVRP), ranking and selection problems (R&S), optimal learning en kunstmatige intelligentie, approximate dynamic programming (ADP), simulation optimization, discrete-event simulation, en simulatie van logistieke systemen. Martijn heeft meegewerkt aan een groot aantal onderzoek- en implementatieprojecten (nationaal en Europees) op het gebied van duurzaam transport, stadslogistiek en stadsdistributie, synchromodaal en intermodaal transport, havenlogistiek en zorglogistiek. Martijn verzorgt diverse bachelor- en mastervakken op het gebied van computersimulatie, wachtrijtheorie, (stochastisch) dynamisch programmeren, Markov ketens, mathematisch programmeren, transport management, en management van technologie.

Kijk op mijn persoonlijke pagina voor meer informatie.

Engineering & Materials Science

# Consolidation
# Costs
# Dynamic Programming
# Logistics
# Pickups
# Planning
# Vehicle Routing

Business & Economics

# Approximate Dynamic Programming

Faculty of Behavioural, Management and Social Sciences (BMS), Industrial Engineering & Business Information Systems (IEBIS)

Gerrits, B. , Mes, M. , Schuur, P., & Andringa, R. (2023). A Simulation Model for Cooperative Robotics in Dairy Farms. In B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C. G. Corlu, L. H. Lee, E. P. Chew, T. Roeder, & P. Lendermann (Eds.), 2022 Winter Simulation Conference (WSC) (pp. 831-842). (Proceedings - Winter Simulation Conference; Vol. 2022-December). IEEE. https://doi.org/10.1109/WSC57314.2022.10015409

Campuzano, G. , Lalla-Ruiz, E. , & Mes, M. (2023). The drone-assisted variable speed asymmetric traveling salesman problem. Computers & industrial engineering, 176, [109003]. https://doi.org/10.1016/j.cie.2023.109003

Boschma, R. , Mes, M. R. K. , & de Vries, L. R. (2023). Approximate dynamic programming for container stacking. European journal of operational research, 310(1), 328-342. https://doi.org/10.1016/j.ejor.2023.02.034

Gerrits, B. (2023). Self-Organizing Logistics: Towards a Unifying Framework for Automated Transport Systems. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036555555

Eikenbroek, O. A. L. (2023). Variations in Urban Traffic. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789055843213

Brunetti, M., Campuzano, G. , & Mes, M. (2023). Simulation of the Internal Electric Fleet Dispatching Problem at a Seaport: A Reinforcement Learning Approach. In 2022 Winter Simulation Conference

Rivera, A. E. P. , & Mes, M. R. K. (2022). Anticipatory scheduling of synchromodal transport using approximate dynamic programming. Annals of operations research. https://doi.org/10.1007/s10479-022-04668-6

Campuzano, G. , Lalla-Ruiz, E. , & Mes, M. (2022). The Dynamic Drone Scheduling Delivery Problem. In J. de Armas, H. Ramalhinho, & S. Voß (Eds.), Computational Logistics - 13th International Conference, ICCL 2022, Proceedings (pp. 260-274). (Lecture Notes in Computer Science; Vol. 13557). Springer. https://doi.org/10.1007/978-3-031-16579-5_18

Akkerman, F. , Mes, M., & van Jaarsveld, W. (2022). A Comparative Analysis of Neural Networks in Anticipatory Transportation Planning.

Akkerman, F. , Mes, M. , & Lalla-Ruiz, E. (2022). Dynamic Time Slot Pricing Using Delivery Costs Approximations. In J. de Armas, H. Ramalhinho, & S. Voß (Eds.), Computational Logistics: 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp. 214–230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13557 LNCS). Springer. https://doi.org/10.1007/978-3-031-16579-5_15

Akkerman, F. , Lalla-Ruiz, E. , Mes, M., & Spitters, T. (2022). Cross-Docking: Current Research Versus Industry Practice and Industry 4.0 Adoption. In T. Bondarouk, & M. R. Olivas-Luján (Eds.), Smart Industry - Better Management (pp. 69-104). (Advanced Series in Management; Vol. 28). Emerald. https://doi.org/10.1108/S1877-636120220000028007

Asadi, A., Pinkley, S. N. , & Mes, M. (2022). A Markov decision process approach for managing medical drone deliveries. Expert systems with applications, 204, [117490]. https://doi.org/10.1016/j.eswa.2022.117490

Akkerman, F. , & Mes, M. (2022). Distance approximation to support customer selection in vehicle routing problems. Annals of operations research. https://doi.org/10.1007/s10479-022-04674-8

Castiglione, C. , Yazan, D. M., Alfieri, A. , & Mes, M. (2021). A holistic technological eco-innovation methodology for industrial symbiosis development. Sustainable Production and Consumption, 28, 1538-1551. https://doi.org/10.1016/j.spc.2021.09.002

van Steenbergen, R. M., Brunetti, M. , & Mes, M. (2021). Network Generation for Simulation of Multimodal Logistics Systems. In 2021 Winter Simulation Conference (WSC) IEEE. https://doi.org/10.1109/WSC52266.2021.9715497

Mes, M. , Lalla-Ruiz, E., & Voß, S. (2021). Preface. In Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. v-vi). (Lecture Notes in Computer Science; Vol. 13004).

Gil, A. F. , Lalla-Ruiz, E. , Mes, M., & Castro, C. (2021). Optimization of Green Pickup and Delivery Operations in Multi-depot Distribution Problems. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 487-501). (Lecture Notes in Computer Science; Vol. 13004). Springer. https://doi.org/10.1007/978-3-030-87672-2_32

Campuzano, G. , Lalla-Ruiz, E. , & Mes, M. (2021). A Multi-start VNS Algorithm for the TSP-D with Energy Constraints. In M. Mes, E. Lalla-Ruiz, & S. Voß (Eds.), Computational Logistics: 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings (pp. 393-409). (Lecture Notes in Computer Science; Vol. 13004). Springer. https://doi.org/10.1007/978-3-030-87672-2_26

Gerrits, B. , Mes, M. , & Schuur, P. (2021). Mixing it Up: Simulation of Mixed Traffic Container Terminals. In K-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.), Proceedings of the 2020 Winter Simulation Conference, WSC 2020 (pp. 1384-1395). [9384068] (Proceedings - Winter Simulation Conference; Vol. 2020-December). IEEE. https://doi.org/10.1109/WSC48552.2020.9384068

Mes, M. R. K. , Vliegen, I. M. H. , & Doggen, C. J. M. (2021). A Quantitative Analysis of Integrated Emergency Posts. In M. E. Zonderland, R. J. Boucherie, E. W. Hans, & N. Kortbeek (Eds.), Handbook of Healthcare Logistics (pp. 201-229). (International Series in Operations Research and Management Science; Vol. 302). Springer. https://doi.org/10.1007/978-3-030-60212-3_11

Koot, M. , Iacob, M-E. , & Mes, M. R. K. (2021). A Reference Architecture for IoT-Enabled Dynamic Planning in Smart Logistics. In M. La Rosa, S. Sadiq, & E. Teniente (Eds.), Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Proceedings: 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (pp. 551-565). (Lecture Notes in Computer Science; Vol. 12751). Springer. https://doi.org/10.1007/978-3-030-79382-1_33

Koot, M. , Mes, M. , & Iacob, M. E. (2021). A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics. Computers & industrial engineering, 154, [107076]. https://doi.org/10.1016/j.cie.2020.107076

Bemthuis, R. , Mes, M. , Iacob, M. E. , & Havinga, P. J. M. (2021). Using agent-based simulation for emergent behavior detection in cyber-physical systems. In K-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.), Proceedings of the 2020 Winter Simulation Conference, WSC (pp. 230-241). [9383956] IEEE. https://doi.org/10.1109/WSC48552.2020.9383956

Lalla-Ruiz, E. , & Mes, M. (2021). Mathematical formulations and improvements for the multi-depot open vehicle routing problem. Optimization Letters, 15(1), 271-286. https://doi.org/10.1007/s11590-020-01594-z

van Steenbergen, R. M. , & Mes, M. (2020). A Simulation Framework For UAV-Aided Humanitarian Logistics. 1372. Paper presented at Winter Simulation Conference, WSC 2020, Orlando, United States.

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Naar mijn profiel

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.