Welkom...

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

Hoogleraar

Over mij

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

Engineering & Materials Science
Consolidation
Costs
Dynamic Programming
Logistics
Pickups
Planning
Vehicle Routing
Business & Economics
Approximate Dynamic Programming

Publicaties

Recent
Koot, M. , Mes, M. R. K. , & Iacob, M. E. (2024). Building an Ontological Bridge Between Supply Chain Resilience and IoT Applications. In H. A. Proper, L. Pufahl, D. Karastoyanova, M. van Sinderen, & J. Moreira (Eds.), Enterprise Design, Operations, and Computing: 27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings (1 ed., pp. 79-96). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-031-46587-1_5
Morim, A., Campuzano, G., Amorim, P. , Mes, M. , & Lalla-Ruiz, E. (2024). The drone-assisted vehicle routing problem with robot stations. Expert systems with applications, 238, Article 121741. https://doi.org/10.1016/j.eswa.2023.121741
Pourmehdi, M. , Iacob, M. E. , & Mes, M. R. K. (2023). Towards a Reference Architecture for Planning and Control Services. In C. Griffo, S. Guerreiro, & M. E. Iacob (Eds.), Advances in Enterprise Engineering XVI: 12th Enterprise Engineering Working Conference, EEWC 2022, Revised Selected Papers (1 ed., pp. 121-138). (Lecture Notes in Business Information Processing; Vol. 473 LNBIP). Springer. Advance online publication. https://doi.org/10.1007/978-3-031-34175-5_8
Geevers, K., van Hezewijk, L. , & Mes, M. R. K. (2023). Multi-echelon inventory optimization using deep reinforcement learning. Central European journal of operations research. Advance online publication. https://doi.org/10.1007/s10100-023-00872-2
van Steenbergen, R. M. , Lalla-Ruiz, E. , van Heeswijk, W. J. A. , & Mes, M. (2023). The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics. In J. R. Daduna, G. Liedtke, X. Shi, & S. Voß (Eds.), 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. https://doi.org/10.1007/978-3-031-43612-3_17
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
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 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 (pp. 2675-2686). (Proceedings - Winter Simulation Conference; Vol. 2022-December). IEEE. https://doi.org/10.1109/WSC57314.2022.10015516
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. , & 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
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

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Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (gebouwnr. 10), kamer 3414
Hallenweg 17
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3414
Postbus 217
7500 AE Enschede