Welcome...

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

Publications

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

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

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

Navigate to location

Mailing Address

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