Joren Gijsbrechts is an adjunct assistant professor in Operations Management. He graduated as a Bachelor and Master in Business Engineering at the University of Antwerp in Belgium. Prior to obtaining his doctoral degree from KU Leuven in Belgium, he attained business experience in the Supply Chain and Operations division of Procter and Gamble in Sweden. As a PhD student, he regularly visited Kellogg School of Management and has on-going research projects with renowned researchers from Olin Business School, Kellogg School of Management, Kuehne Logistics University and Exeter University. His research centers around data-driven decision making in Operations Management with a strong focus on the recent developments in Machine Learning and Prescriptive Analytics. His models have assisted companies to improve their inventory and transportation management. In addition to research, he is providing guest lectures and company workshops on the recent developments within Supply Chain Analytics.
Publications
Paper
Volume Flexibility at Responsive Suppliers in Reshoring Decisions: Analysis of a Dual Sourcing Inventory Model
Production and Operations Management (forthcoming), 2022
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Paper
A reward shaping approach to improve the applicability of deep reinforcement learning to inventory management
European Journal of Operational Research, 301(2) 535–545, 2021
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Paper
Can Deep Reinforcement Learning Improve Inventory Management? Performance on Dual Sourcing, Lost Sales and Multi-Echelon Problems
Manufacturing & Service Operations Management (forthcoming), 2021
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Paper
Deep reinforcement learning for inventory control: A roadmap
European Journal of Operational Research, 298(2) 401-412, 2021
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Paper
Synchromodal transportation planning using travel time information
Computers in Industry, (125) 103367, 2021
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Book chapter
Digital Lean Operations: Smart Automation and Artificial Intelligence in Financial Services
Innovative Technology at the interface of Finance and Operations. Springer Series in Supply Chain Management, Springer Nature (Forthcoming), 2020
Paper
Dual Sourcing and Smoothing under Non-Stationary Demand Time Series: Re-shoring with SpeedFactories
Management Science, 68(2):1039-1057, 2020
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Paper
Synchromodality in the Physical Internet – dual sourcing and real-time switching between transport modes
European Transport Research Review, 11, 2020
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Paper
Use of Proximal Policy Optimization for the Joint Replenishment Problem
Computers in Industry, (119) 103239, 2020
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