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
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
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 Science + Business Media. 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 Group Holdings Ltd.. 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 Science + Business Media. 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 Science + Business Media. 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
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
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.
Brunetti, M. , Mes, M., & van Heuveln, J. (2020). A General Simulation Framework for Smart Yards. 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. 2743-2754). [9383928] (Proceedings - Winter Simulation Conference, WSC; Vol. 2020). IEEE. https://doi.org/10.1109/WSC48552.2020.9383928
Lalla-Ruiz, E. , Mes, M., & Voß, S. (2020). Preface of Computational Logistics book. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics: 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. v-vi). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433). Springer.
Akkerman, F. , Mes, M., & Heijnen, W. (2020). Distance Approximation for Dynamic Waste Collection Planning. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 356-370). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433 LNCS). Springer. https://doi.org/10.1007/978-3-030-59747-4_23
Mes, M. , & van Heeswijk, W. (2020). Comparison of Manual and Automated Decision-Making with a Logistics Serious Game. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Computational Logistics - 11th International Conference, ICCL 2020, Proceedings (pp. 698-714). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12433 LNCS). Springer. https://doi.org/10.1007/978-3-030-59747-4_45

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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