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.
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.
Bayesian process control for critical systems, with Stella Kapodistria. Major Revision at Production and Operations Management.
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.
Drent, C. (2017). Dynamic dispatching and repositioning policies in service logistics networks. MSc thesis, Eindhoven University of Technology.