Ravelijn

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

Hoogleraar
BMS-HBE-IEBIS
Ravelijn 3414
m.r.k.mes@utwente.nl
+31534894062
Visitekaartje

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.

Expertises

  • Computer Science

    • Simulation
    • Models
    • Dynamic Programming
    • Heuristics

  • Social Sciences

    • Problem
    • Approach
    • Logistics
    • Time

Organisaties

Publicaties

Jump to: 2024 | 2023 | 2022

2024

Evaluation and Coordination of UAVs in Humanitarian Logistics (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van Steenbergen, R. M.https://doi.org/10.3990/1.9789036562232Multi-echelon inventory optimization using deep reinforcement learning (2024)Central European journal of operations research, 32(3), 653-683. Geevers, K., van Hezewijk, L. & Mes, M. R. K.https://doi.org/10.1007/s10100-023-00872-2Autonomous Multimodal Last-Mile Delivery Systems (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Campuzano, G.https://doi.org/10.3990/1.9789036562010Condition-Based Logistics: Internet of Things Solutions for Resilient Supply Chains (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Koot, M.https://doi.org/10.3990/1.9789036561075Towards self-organizing logistics in transportation: a literature review and typology (2024)International transactions in operational research, 31(3), 1309-1374. Gerrits, B., van Heeswijk, W. & Mes, M.https://doi.org/10.1111/itor.13408The drone-assisted vehicle routing problem with robot stations (2024)Expert systems with applications, 238. Article 121741. Morim, A., Campuzano, G., Amorim, P., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1016/j.eswa.2023.121741A Simulation Model For Bio-Inspired Charging Strategies For Electric Vehicles In Industrial Areas (2024)In 2023 Winter Simulation Conference, WSC 2023 (pp. 197-208) (Proceedings - Winter Simulation Conference). IEEE. Gerrits, B., Mes, M. & Andringa, R.https://doi.org/10.1109/WSC60868.2023.10408631Building an Ontological Bridge Between Supply Chain Resilience and IoT Applications (2024)In Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (pp. 79-96) (Lecture Notes in Computer Science). Springer. Koot, M., Mes, M. R. K. & Iacob, M. E.https://doi.org/10.1007/978-3-031-46587-1_5Smart logistics nodes: concept and classification (2024)International Journal of Logistics Research and Applications (E-pub ahead of print/First online). Brunetti, M., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1080/13675567.2024.2327394

2023

Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty (2023)Transportation research. Part C: Emerging technologies, 157. Article 104401. van Steenbergen, R. M., Mes, M. & van Heeswijk, W. J. A.https://doi.org/10.1016/j.trc.2023.104401The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs (2023)[Working paper › Working paper]. ArXiv.org. van Steenbergen, R. M., van Heeswijk, W. J. A. & Mes, M.https://doi.org/10.48550/arXiv.2312.00140Approximate dynamic programming for container stacking (2023)European journal of operational research, 310(1), 328-342. Boschma, R., Mes, M. R. K. & de Vries, L. R.https://doi.org/10.1016/j.ejor.2023.02.034The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics (2023)In Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings (pp. 276-291) (Lecture Notes in Computer Science; Vol. 14239). Springer. van Steenbergen, R. M., Lalla-Ruiz, E., van Heeswijk, W. J. A. & Mes, M.https://doi.org/10.1007/978-3-031-43612-3_17Scheduling Urban Infrastructure Renovation Projects to Minimize Traffic Disruption (2023)In 14th International Conference on Computational Logistics. Bosch, R., Rogetzer, P., van Heeswijk, W. J. A. & Mes, M.Towards a Reference Architecture for Planning and Control Services (2023)In Advances in Enterprise Engineering XVI: 12th Enterprise Engineering Working Conference, EEWC 2022, Revised Selected Papers (pp. 121-138) (Lecture Notes in Business Information Processing; Vol. 473 LNBIP). Springer. Pourmehdi, M., Iacob, M. E. & Mes, M. R. K.https://doi.org/10.1007/978-3-031-34175-5_8Self-Organizing Logistics: Towards a Unifying Framework for Automated Transport Systems (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Gerrits, B.https://doi.org/10.3990/1.9789036555555Variations in Urban Traffic (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Eikenbroek, O. A. L.https://doi.org/10.3990/1.9789055843213The drone-assisted variable speed asymmetric traveling salesman problem (2023)Computers & industrial engineering, 176. Article 109003. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.cie.2023.109003A Simulation Model for Cooperative Robotics in Dairy Farms (2023)In 2022 Winter Simulation Conference (WSC) (pp. 831-842) (Proceedings - Winter Simulation Conference; Vol. 2022-December). IEEE. Gerrits, B., Mes, M., Schuur, P. & Andringa, R.https://doi.org/10.1109/WSC57314.2022.10015409Simulation of the Internal Electric Fleet Dispatching Problem at a Seaport: A Reinforcement Learning Approach (2023)In 2022 Winter Simulation Conference (pp. 2675-2686) (Proceedings - Winter Simulation Conference; Vol. 2022-December). IEEE. Brunetti, M., Campuzano, G. & Mes, M.https://doi.org/10.1109/WSC57314.2022.10015516

2022

A Markov decision process approach for managing medical drone deliveries (2022)Expert systems with applications, 204. Article 117490. Asadi, A., Pinkley, S. N. & Mes, M.https://doi.org/10.1016/j.eswa.2022.117490The Dynamic Drone Scheduling Delivery Problem (2022)In Computational Logistics - 13th International Conference, ICCL 2022, Proceedings (pp. 260-274) (Lecture Notes in Computer Science; Vol. 13557). Springer. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-031-16579-5_18A Comparison of Reinforcement Learning Policies for Dynamic Vehicle Routing Problems with Stochastic Customer Requests (2022)[Working paper › Working paper] (In preparation). Akkerman, F., Mes, M. & van Jaarsveld, W.Cross-Docking: Current Research Versus Industry Practice and Industry 4.0 Adoption (2022)In Smart Industry - Better Management (pp. 69-104) (Advanced Series in Management; Vol. 28). Emerald. Akkerman, F., Lalla-Ruiz, E., Mes, M. & Spitters, T.https://doi.org/10.1108/S1877-636120220000028007Anticipatory scheduling of synchromodal transport using approximate dynamic programming (2022)Annals of operations research (E-pub ahead of print/First online). Rivera, A. E. P. & Mes, M. R. K.https://doi.org/10.1007/s10479-022-04668-6

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