Projects per year
Personal profile
Research profile
Collin Drent is an Assistant Professor of Operations Management in the School of Industrial Engineering. His research focuses on personalized decision-making, a paradigm that utilizes population heterogeneity to deliver tailored decisions and improve outcomes. This requires learning from data to determine optimal actions and timing, adapting dynamically to evolving conditions (e.g., patients needing treatment or systems requiring maintenance). Collin leverages tools from operations research, statistics, and machine learning to advance personalized decision-making, with applications in maintenance, manufacturing, and healthcare operations.
His work has been published in leading journals, including Manufacturing & Service Operations Management and the European Journal of Operational Research, and has been recognized by the Willem R. van Zwet Award and Beta Award. Collin also serves on the board of the Dutch OR Society.
Academic background
Collin Drent earned his B.Sc. in Industrial Engineering (2015) and M.Sc. in Operations Management and Logistics (2017), both with cum laude honors, from Eindhoven University of Technology. In 2022, he completed his Ph.D. in Applied Mathematics, also with the cum laude distinction (highest honors, top 5%), from the same institution.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Roliac
Basten, R. J. I. (Project Manager), Schlicher, L. (Project member), Drent, C. (Project member), Slikker, M. (Project member), Tanil-Can, I. (Project member), van Beek, A. (Project member) & van Oers, J. J. (Project member)
1/12/22 → 30/11/25
Project: Third tier
Research output
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Real-Time Integrated Learning and Decision Making for Cumulative Shock Degradation
Drent, C. (Corresponding author), Drent, M., Arts, J. J. & Kapodistria, S., Jan 2023, In: Manufacturing & Service Operations Management. 25, 1, p. 235-253Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile19 Citations (Scopus)269 Downloads (Pure) -
Condition-Based Production for Stochastically Deteriorating Systems: Optimal Policies and Learning
Drent, C. (Corresponding author), Drent, M. & Arts, J. J., May 2024, In: Manufacturing & Service Operations Management. 26, 3, p. 1137-1156 20 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Citations (Scopus)89 Downloads (Pure) -
Censored lifetime learning: Optimal Bayesian age-replacement policies
Drent, C. (Corresponding author), Kapodistria, S. & Boxma, O. J., Nov 2020, In: Operations Research Letters. 48, 6, p. 827-834 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access12 Citations (Scopus) -
Optimal data pooling for shared learning in maintenance operations
Drent, C. (Corresponding author), Drent, M. & van Houtum, G.-J. J. A. N., Jan 2024, In: Operations Research Letters. 52, 8 p., 107056.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Citations (Scopus)36 Downloads (Pure) -
Structured Learning and Decision Making for Maintenance
Drent, C., 1 Jul 2022, Eindhoven: Eindhoven University of Technology. 263 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile1124 Downloads (Pure)
Prizes
Courses
Thesis
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Dynamic dispatching and repositioning policies in service logistics networks
Drent, C. (Author), van Houtum, G. J. J. A. N. (Supervisor 1) & van Woensel, T. (Supervisor 2), 30 Nov 2017Student thesis: Master
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