Doctoral Candidate
Michael Geurtsen
Department / Institute
RESEARCH PROFILE
Michael Geurtsen is a PhD student at the Department of Operations, Planning, Accounting and Control. He received his BSc and MSc Cum Laude in Mechanical Engineering at the Eindhoven University of Technology. Currently, he conducts research on predictive maintenance and the integration of maintenance, production and resource planning in a semiconductor shop-floor, under the supervision of Prof. Dr. Ivo Adan and Dr. Zumbul Atan.
His current research interests are in the area of production, maintenance and resource scheduling/planning, where he aims to apply discrete event simulation, digital twins, machine learning and deep reinforcement learning tools.
Recent Publications
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Integrated maintenance and production scheduling for unrelated parallel machines with setup times
Flexible Services and Manufacturing Journal (2024) -
Planning of Multi-Production Line Maintenance
Journal of Manufacturing Systems (2024) -
Deep Reinforcement Learning for Optimal Planning of Assembly Line Maintenance
Journal of Manufacturing Systems (2023) -
Production, Maintenance and Resource Scheduling
European Journal of Operational Research (2023) -
Autonomous Scheduling in Semiconductor Back-End Manufacturing
(2023)
Ancillary Activities
No ancillary activities