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

Full Professor

About Me

Martijn Mes is a full professor of Transportation and Logistics Management (TLM) and chair of the Industrial Engineering and Business Information Systems (IEBIS) section within the High Tech Business and Entrepreneurship (HBE) department at the University of Twente (Enschede, The Netherlands). He holds a master’s degree in Applied Mathematics (2002) and did his Ph.D. at the School of Management and Governance, University of Twente (2008). After finishing his Ph.D., Martijn did his postdoc at Princeton University, Department of Operations Research and Financial Engineering, where he did research on the topics of Ranking and Selection (R&S), Bayesian Global Optimization (BGO), and Optimal Learning. In general, Martijn's research involves freight transportation, synchromodal transport, multi-agent systems (MAS), pricing and auctions in freight transport, dynamic vehicle routing problems (VRP & DVRP), ranking and selection problems (R&S), optimal learning, approximate dynamic programming (ADP), simulation optimization, discrete-event simulation, and simulation of logistics and healthcare systems. Martijn participated in various research and implementation projects (national as well as European) on the topics of sustainable logistics, urban logistics, city distribution, healthcare logistics, port logistics, and intermodal and synchromodal transport. Within the program Industrial Engineering and Management, Martijn provides various BSc and MSc courses related to simulation, queueing theory, (stochastic) dynamic programming, Markov chains, mathematical programming, transportation management, and technology management.

For more information, see my personal page.

Expertise

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

Organisations

Publications

Recent
Brunetti, M. , Mes, M. , & Lalla-Ruiz, E. (2024). Smart logistics nodes: concept and classification. International Journal of Logistics Research and Applications. Advance online publication. https://doi.org/10.1080/13675567.2024.2327394
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).

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Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 3414
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  3414
P.O. Box 217
7500 AE Enschede
The Netherlands

Organisations

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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