Hi, I am Collin Drent.
I am an Assistant Professor in the School of Industrial Engineering of Eindhoven University of Technology. My passion is solving challenging data-driven decision problems that have practical relevance using operations research techniques, with applications to maintenance of expensive assets and manufacturing operations.
Prior to joining the School of Industrial Engineering, I obtained my PhD in Applied Mathematics from the Department of Mathematics and Computer Science of Eindhoven University of Technology.
You can reach me at: c.drent at tue dot nl
Drent, C., Drent, M., Arts, J.J., Kapodistria, S. (2023). Real-time integrated learning and decision making for cumulative shock degradation. Manufacturing & Service Operations Management, 25(1), 235–253.
The degradation data set of the corresponding case study can be downloaded here.
Drent, C., Kapodistria, S., Boxma, O. (2020). Censored life-time learning: Optimal Bayesian age-replacement policies. Operations Research Letters, 48(6), 827–834.
Drent, C., Olde Keizer, M., van Houtum, G. J. (2020). Dynamic dispatching and repositioning policies for fast-response service networks. European Journal of Operational Research, 285(2), 583–598.
Drent, C., Kapodistria, S., Resing, J.A.C. (2019). Condition-based maintenance policies under imperfect maintenance at scheduled and unscheduled opportunities. Queueing Systems, 93(3-4), 269–308.
Condition-based production for stochastically deteriorating systems: Optimal policies and learning, with Joachim Arts and Melvin Drent. Major Revision at Manufacturing & Service Operations Management.
Bayesian process control for critical systems, with Stella Kapodistria. Submitted.
Optimal data pooling for shared learning in maintenance operations, with Melvin Drent and Geert-Jan van Houtum. Major Revision at Operations Research Letters.
Dedicated maintenance and repair shop control for spare parts networks, with Chaaben Kouki, Melvin Drent, and Mohamed-Zied Babai. Submitted.
Drent, C. (2022). Structured learning and decision making for maintenance. PhD thesis, Eindhoven University of Technology.
Media coverage: TechXplore, TU/e, De Ingenieur (in Dutch), Industrial Maintenance (in Dutch).
Winner of Willem R. van Zwet Award (best Dutch PhD thesis in statistics or operations research in 2022; see VVSOR and TU/e)
Drent, C. (2017). Dynamic dispatching and repositioning policies in service logistics networks. MSc thesis, Eindhoven University of Technology.