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Willem van Jaarsveld is an Associate Professor specializing in Stochastic Optimization and Supply Chain Logistics at Eindhoven University of Technology (TU/e), within the OPAC group. His primary research methodology involves Markov Decision Processes and Deep Reinforcement Learning, applied to data-driven inventory control, capacitated supply chain management, and maintenance logistics. He has published over 50 papers in peer-reviewed journals including Operations Research, Management Science, Mathematics Operations Research, European Journal of Operational Research, Manufacturing and Service Operations Management, and Omega. Beyond his scientific contributions, van Jaarsveld aims to have a practical impact, collaborating closely with companies to facilitate the implementation of his methods. His research on optimizing spare parts inventories has been applied in organizations such as Fokker Services, Shell Global Solutions, and ASML, addressing real-world challenges to build theory within operations management. He completed his MSc in Physics and Econometrics with honors and received a PhD in Operations Research from Rotterdam Erasmus University in 2013, having spent a year at Carnegie Mellon University during his PhD candidacy. He previously worked at the Erasmus School of Economics before joining the OPAC group in 2015.
Eindhoven University of Technology (TU/e), OPAC group • Eindhoven, Netherlands
Teaching and research in the field of Stochastic Optimization and Supply Chain Logistics.
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