Ravelijn

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

Full Professor
BMS-HBE-IEBIS
Ravelijn 3414
m.r.k.mes@utwente.nl
+31534894062
Business card

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

  • Computer Science

    • Simulation
    • Models
    • Dynamic Programming
    • Heuristics
    • Vehicle Routing

  • Social Sciences

    • Problem
    • Approach
    • Logistics

Organisations

Publications

Jump to: 2025 | 2024

2025

Optimizing autonomous multimodal last-mile delivery systems with time windows: Analyzing trade-offs between drones, robots, and trucks (2025)Transportation research. Part E: Logistics and transportation review, 204. Article 104427 (E-pub ahead of print/First online). Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.tre.2025.104427Smart Logistics Nodes: Connected Automated Transport for Future-Proof Ports and Business Parks (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Brunetti, M.https://doi.org/10.3990/1.9789036566865Anticipatory scheduling of synchromodal transport using approximate dynamic programming (2025)Annals of operations research, 350(1), 95–129. Rivera, A. E. P. & Mes, M. R. K.https://doi.org/10.1007/s10479-022-04668-6Distance approximation to support customer selection in vehicle routing problems (2025)Annals of operations research, 350(1), 269-297. Akkerman, F. & Mes, M.https://doi.org/10.1007/s10479-022-04674-8Optimization and artificial intelligence in logistics management (2025)Annals of operations research, 350(1), 1-3. Lalla-Ruiz, E. & Mes, M. R. K.https://doi.org/10.1007/s10479-025-06700-xRequirements Analysis for a Digital Twin to Increase the Resilience of Multimodal Corridors: A Case Study in the Twente Region (2025)In Advanced Information Systems Engineering Workshops - CAiSE 2025 Workshops, Proceedings (pp. 219-230) (Lecture Notes in Business Information Processing; Vol. 556 LNBIP). Springer. Guizzardi - Silva Souza, R., Piest, J. P. S., Akyazi, A., Ariji, S., Tao, T., Bastani, M., Scheijgrond, A. R., Kromanis, R., Vahdatikhaki, F., Hüllmann, J. A. & Mes, M.https://doi.org/10.1007/978-3-031-94931-9_18Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling (2025)[Working paper › Preprint]. ArXiv.org. Bosch, R., van Heeswijk, W., Rogetzer, P. & Mes, M.https://doi.org/10.48550/arXiv.2506.05933The selective multiple depot pickup and delivery problem with multiple time windows and paired demand (2025)Operations Research Perspectives, 14. Article 100342. Roelink, D., Campuzano, G., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1016/j.orp.2025.100342The two-tier multi-depot vehicle routing problem with robot stations and time windows (2025)Engineering applications of artificial intelligence, 147. Article 110258. Campuzano, G., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1016/j.engappai.2025.110258Solving dual sourcing problems with supply mode dependent failure rates (2025)International journal of production research (E-pub ahead of print/First online). Akkerman, F., Knofius, N., van der Heijden, M. & Mes, M.https://doi.org/10.1080/00207543.2025.2489755Machine Learning for Sequential Decisions in Logistics (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Akkerman, F. R.https://doi.org/10.3990/1.9789036565349Dynamic reordering and inspection for the multi-item Inventory Record Inaccuracy problem (2025)European journal of operational research, 321(2), 428-444. Akkerman, F., Prak, D. & Mes, M.https://doi.org/10.1016/j.ejor.2024.09.033The Stochastic Dynamic Postdisaster Inventory Allocation Problem with Trucks and UAVs (2025)Transportation science, 59(2), 360-390. van Steenbergen, R. M., van Heeswijk, W. J. A. & Mes, M. R. K.https://doi.org/10.1287/trsc.2023.0438A comparison of reinforcement learning policies for dynamic vehicle routing problems with stochastic customer requests (2025)Computers & industrial engineering, 200. Article 110747. Akkerman, F., Mes, M. & van Jaarsveld, W.https://doi.org/10.1016/j.cie.2024.110747

2024

Circular Construction Ecosystems: Designing a Circularity Information Platform for the Built Environment (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Yu, Y.https://doi.org/10.3990/1.9789036563970Learning Dynamic Selection and Pricing of Out-of-Home Deliveries (2024)Transportation science (E-pub ahead of print/First online). Akkerman, F., Dieter, P. & Mes, M.https://doi.org/10.1287/trsc.2023.0434Smart logistics nodes: concept and classification (2024)International Journal of Logistics Research and Applications, 27(11), 1984-2020. Brunetti, M., Mes, M. & Lalla-Ruiz, E.https://doi.org/10.1080/13675567.2024.2327394Design Implications for Integrating AI Chatbot Technology with Learning Management Systems: A Study-based Analysis on Perceived Benefits and Challenges in Higher Education (2024)In ICAITE 2024: Proceedings of the 2024 International Conference on Artificial Intelligence and Teacher Education (pp. 1-8). ACM Press. Sedrakyan, G., Borsci, S., Machado, M., Rogetzer, P. & Mes, M.https://doi.org/10.1145/3702386.3702405Evaluation 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/s10100-023-00872-2Enhancing Inter-Terminal Transport via Early Information (2024)In Business Analytics and Decision Making in Practice: Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE (pp. 215-227) (Lecture Notes in Operations Research; Vol. Part F3798). Springer. Brunetti, M., Lalla-Ruiz, E. & Mes, M.https://doi.org/10.1007/978-3-031-61589-4_18Autonomous 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.2023.121741

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