People / Tom van Woensel
Principal investigator
Tom van Woensel
Professor | Smart hubs & maas
- Institution
- Eindhoven University of Technology
- Work package
- In NEON
- 2020 onwards
- Now
- Full Professor of Freight Transport and Logistics, Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology.
Leader of WP6a (Smart hubs and mobility as a service); co-author and presumed supervisor of the WP6a PhDs Aria Dahimi and Saba Siadati.
Expertise: Freight transport and logistics
Tom Van Woensel is full professor of Freight Transport and Logistics at Eindhoven University of Technology. He develops operations research models and algorithms, increasingly combined with machine learning, for vehicle routing, last-mile logistics and network design.
About me
Tom Van Woensel is Full Professor of Freight Transport and Logistics in the OPAC group (Operations, Planning, Accounting and Control) of the department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). Since July 2019, he is appointed as the Director of Education and Graduate Program Director of the Department of Industrial Engineering & Innovation Sciences. He is also the program chair of the Bachelor Program Industrial Engineering. Tom’s research is mainly focused on Freight Transport and Logistics and he conducted a large number of projects with industry, mainly with and through his Master, Professional Doctorate, and Doctorate students. Current interests include Last Mile Logistics, vehicle routing problems, crowd shipping, (service) network design, machine learning, Big Data and IoT-driven issues and opportunities.
Personal Motivation
Profile text from the former NEON website.
✎ draftPhD researchers supervised
Publications and talks
- Stochastic two-echelon vehicle routing with mobile satellites: Adaptive large neighborhood search with stochastic approximation scheduling (journal-article, 2026)
- Learning-Guided Adaptive Large Neighborhood Search for the Two-Echelon Vehicle Routing Problem with Mobile Satellites (report, 2026)
- A two-echelon vehicle routing problem with mobile satellites and multiple commodities (journal-article, 2025)
- The Two-Echelon Time-Dependent Green Location-Routing Problem (report, 2024)