Martijn Mes

Dr. ir. M.R.K. Mes

University of Twente
Faculty of Behavioural Management and Social Sciences
Dep. Industrial Engineering and Business Information Systems

P.O. Box 217
7500 AE Enschede
The Netherlands

Room: RA 3101 (Ravelijn)
Tel: (+31 53 489)4062
Fax: (+31 53 489)2159


Martijn Mes is an associate professor 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 PhD at the School of Management and Governance, University of Twente (2008). After finishing his PhD, 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 optimization and artificial intelligence for transportation and logistics management. Three application areas can be distinguished within this domain: (i) emergency logistics, (ii) urban logistics, and (iii) sustainable logistics. Within these application areas, Martijn focusses on (i) the use of AI for logistics management (supporting strategic, tactical and operational logistics decision-making) and (ii) the use of autonomous or electric vehicles (e.g., drones, delivery robots, AGVs, autonomous trucks). More specifically, Martijn uses quantitative modelling techniques, from the Artificial Intelligence and Operations Research domains, such as stochastic optimization (Approximate Dynamic Programming, Optimal Learning, Machine Learning, Deep Reinforcement Learning), simulation (discrete-event simulation, simulation optimization), multi-agent systems, and serious gaming. Martijn participated in various research and implementation projects (national as well as European) on the topics of sustainable logistics, urban logistics, city distribution, port logistics, and intermodal/synchromodal transport. Within the program Industrial Engineering and Management, Martijn provides various BSc and MSc courses related to simulation, queueing theory, Markov chains, dynamic programming, approximate dynamic programming, reinforcement learning, transportation management, and management of technology.

Research interests


Refereed publications:

BOOKS / Book chapters / extended abstracts / proceedings:

Articles under review / revision:

Interviews and articles in the Dutch press:

Selection of presentations

Conference presentations at the INFORMS Annual Meetings:

Selection of invited talks:

demonstration of simulation models & simulation tutorial

A selection of some of my simulation models can be found below. These models were implemented in Tecnomatix Plant Simulation from Siemens. For this simulation software, I wrote an extensive tutorial that is currently used by various educational institutions.

Integrated Emergency Post [view]
Simulation of an Integrated Emergency Post (Emergency Department and General Practitioner Post).

Waste Collection [view]
Simulation of Waste Collection from Underground Containers (Inventory Routing Problem).

Industrial Bakery [view]
Simulation of Automated Guided Vehicles used in the Dough Making Process in an Industrial Bakery.

Underground Logistic System [view]
Simulation of an Underground Logistic System aimed to be built at Amsterdam Airport Schiphol.

Simulation Modelling using Practical Examples: A Plant Simulation Tutorial

This tutorial consists of two parts. The first part is primarily designed for a bachelor module, where you will build a number of basic models in Plant Simulation. Each of these chapters end with a working simulation model and an assignment. The simulation models presented in these chapters revolve around one running example: the modelling and optimisation of a General Practitioner’s office. The second part is primarily designed for a master course, where you will build more advanced and more graphically oriented simulation models. Again, each of these chapters contain an assignment. However, we use another running example throughout these chapters, namely of a car manufacturer.

[download tutorial including accompanying files]  


Master lectures:

Bachelor lectures:


Transportation, green logistics, multi-agent systems, auctions, freight transport, dynamic vehicle routing problems, stochastic optimization, artificial intelligence, optimal learning, machine learning, reinforcement learning, planning, scheduling, logistics, simulation.

Publication archive

Full electronic versions of my publications can be retrieved from UTpublications.

PhD thesis and defence (2008)