I am an Associate Professor in the Department of Information Systems and Operations Management at Tilburg University. I received my PhD in Operations Management from the Luxembourg Centre for Logistics and Supply Chain Management in 2021.
My passion is solving challenging decision problems that have societal relevance using operations research techniques. I am currently working on data-driven decision making for inventory management, healthcare operations, and condition-based maintenance. Much of this research is in close collaboration with industry.
I am always open to new collaborations. You can contact me at M.Drent [at] tilburguniversity [dot] edu.
Condition-based production for stochastically deteriorating systems: Optimal policies and learning, with Collin Drent and Joachim Arts. Manufacturing & Service Operations Management (2024).
Optimal data pooling for shared learning in maintenance operations, with Collin Drent and Geert-Jan van Houtum. Operations Research Letters (2024).
Efficient emission reduction through dynamic supply mode selection, with Poulad Moradi and Joachim Arts. European Journal of Operational Research (2023).
Real-time integrated learning and decision making for cumulative shock degradation, with Collin Drent, Joachim Arts, and Stella Kapodistria, Manufacturing & Service Operations Management (2023).
The filament degradation data set of the corresponding case study can be downloaded here.
Expediting in two-echelon spare parts inventory systems, with Joachim Arts, Manufacturing & Service Operations Management (2021).
Asymptotic optimality of projected inventory level policies for lost sales inventory systems with large leadtime and penalty cost, with Poulad Moradi and Joachim Arts.
Effective dual-sourcing through inventory projection, with Joachim Arts.
Recipient of the ISIR Best Student Paper Award 2020.
Time-dependent shipment options and shipment fees for e-commerce fulfillment centers, with Uta Mohring, Ivo Adan, and Willem van Jaarsveld.
Dedicated maintenance and repair shop control for spare parts networks, with Chaaben Kouki, Collin Drent, and Mohamed-Zied Babai.
Using Markov decision processes to support early identification of treatment response, with Fang Li, Collin Drent, Maarten Merkx, Niels Kakes, Frederike Jörg, and Talitha Feenstra.
Bleed-feed optimization in constrained biomanufacturing settings, with Coen Dirckx and Tugce Martagan.
Leren van het optimale onderhoudsmoment (in Dutch), with Collin Drent. STAtOR (2023).