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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M. Geurtsen,Ivo J.B.F. Adan,Zümbül Atan
Deep Reinforcement Learning for Optimal Planning of Assembly Line Maintenance
Journal of Manufacturing Systems (2023) -
M. Geurtsen,J.B.H.C. Didden,Zümbül Atan,Ivo J.B.F. Adan
Production, Maintenance and Resource Scheduling
European Journal of Operational Research (2023) -
M. Geurtsen,Ivo J.B.F. Adan,Zümbül Atan
Dynamic Scheduling of Maintenance by a Reinforcement Learning Approach
(2023) -
Alp Akcay,John Fowler,M. Geurtsen
Autonomous Scheduling in Semiconductor Back-End Manufacturing
(2023)
Ancillary Activities
No ancillary activities