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Denise Tönissen is an Assistant Professor in logistics at the School of Business and Economics, VU Amsterdam University. She received a MSc in Computing Science from Utrecht University (2013) and a PhD (2018) from the School of Industrial Engineering of Eindhoven University of Technology.


Denise’s research focuses on modeling and solving real-life problems arising in transportation and logistics. She is in particular interested in developing exact methods two-stage stage stochastic programming problems. Her research results have been successfully implemented and published in European Journal of Operational Research and Computers and Operations Research.


  • Supply Chain Data Analytics (coordinator)
  • Supply Chain Management (teacher)
  • Thesis supervision

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Operations Research Mathematics
economy Social Sciences
Stochastic Programming Mathematics
Exact Method Mathematics
Logistics Mathematics
Modeling Mathematics
scenario Social Sciences
German Federal Railways Social Sciences

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Research Output 2016 2018

Economies of scale in recoverable robust maintenance location routing for rolling stock

Tönissen, D. D. & Arts, J. J., 2018, In : Transportation Research. Part B: Methodological. 117, Part A, p. 360-377 18 p.

Research output: Contribution to JournalArticleAcademicpeer-review

German Federal Railways

Column generation strategies and decomposition approaches for the two-stage stochastic multiple knapsack problem

Tönissen, D. D., van den Akker, J. M. & Hoogeveen, J. A., Jul 2017, In : Computers and Operations Research. 83, p. 125-139

Research output: Contribution to JournalArticleAcademicpeer-review

Decomposition approaches for recoverable robust optimization problems

van den Akker, J. M., Bouman, P. C., Hoogeveen, J. A. & Tönissen, D. D., 16 Jun 2016, In : European Journal of Operational Research. 251, 3, p. 739-750

Research output: Contribution to JournalArticleAcademicpeer-review