dr. Joris Wagenaar

Bio

Joris Wagenaar is an assistant professor of Business Analytics/ Operations Research at Tilburg University. His research focus cover various fields in transportation and optimization. In particular, he is interested in doing research to many problems  in either railway transportation or multimodal transportation. Furthermore, Joris recently got involved in research to optimize the food supply chain for World Food Programme. 

Expertise

CV Joris Wagenaar

Courses

• Linear Algebra for Data Science
• Supply Chain Decision-Making
• BSc Thesis Econometrics & Operational Research
• Linear Algebra
• Inventory and Production Management
• Econometrics for Data Science

Recent publications

1. Enhancing Digital Road Networks for Better Operations in Developing C…

   Stienen, V., den Hertog, D., Wagenaar, J., & de Zegher, J. F. (2022). Enhancing Digital Road Networks for Better Operations in Developing Countries. (CentER Discussion Paper; Vol. 2022-014). CentER, Center for Economic Research.

2. Forecasting the spread of SARS-CoV-2 is inherently ambiguous given th…

   Koenen, M., Balvert, M., Brekelmans, R., Fleuren, H., Stienen, V., & Wagenaar, J. (2021). Forecasting the spread of SARS-CoV-2 is inherently ambiguous given the current state of virus research. PLOS ONE, 16(3 March), [e0245519].

3. Optimal depot locations for humanitarian logistics service providers …

   Stienen, V. F., Wagenaar, J. C., den Hertog, D., & Fleuren, H. A. (2021). Optimal depot locations for humanitarian logistics service providers using robust optimization. Omega: The international journal of management science, 104, [102494].

4. Forecasting the Spread of SARS-CoV-2 is inherently Ambiguous given th…

   Koenen, M., Balvert, M., Brekelmans, R., Stienen, V., & Wagenaar, J. (2020). Forecasting the Spread of SARS-CoV-2 is inherently Ambiguous given the Current State of Virus Research. (CentER Discussion Paper; Vol. 2020-026). CentER, Center for Economic Research.

5. A robust and energy-efficient train timetable for the subway system

   Liu, P., Schmidt, M., Kong, Q., Wagenaar, J., Yang, L., Gao, Z., & Zhou, H. (2020). A robust and energy-efficient train timetable for the subway system. Transportation Research Part C: Emerging Technologies, 121, [102822].