Reginald Dewil
Papers
5
Total Citations
96
H-Index
4
About
Reginald Dewil is a leading researcher in operations research and logistics, with a primary focus on the optimization of robotic mobile fulfillment systems (RMFS). His work addresses critical challenges in modern warehousing and automated order fulfillment. Dewil’s major contributions include developing sophisticated optimization models and algorithms for scheduling operations within RMFS, such as the efficient coordination of robots and order picking tasks. He has introduced a bi-level memetic algorithm for integrated order and vehicle scheduling and a multi-agent approach to harmonize robot scheduling with order picking, both achieving 29 citations each. His research also extends to semi-automated warehouses, where he employs simulation-based genetic algorithms to manage processing time variability. Additionally, Dewil explores the human-robot collaboration frontier, investigating how collaborative robots (cobots) can improve productivity and worker conditions in assembly tasks. Through his work on task allocation and collaborative architectures, he aims to enhance both system performance and human wellbeing. With a growing citation impact, Dewil is recognized for advancing the efficiency, intelligence, and human-centric design of automated logistics systems.
Research Focus
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Top Papers
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