Lei WANG

Lei WANG is a researcher at Université de Technologie de Compiègne (UTT), specializing in Operations Research and Supply Chain Management. His work focuses on stochastic programming, reinforcement learning, and optimization techniques applied to inventory systems and logistics engineering.

Education:

• Master Degree in Logistics Engineering, Wuhan University of Technology (June 2019)
• Bachelor Degree in Logistics Engineering, Wuhan University of Technology (June 2017)

Research Interests: Dr. WANG's research addresses complex inventory management challenges through advanced optimization models. He explores periodic review joint replenishment policies under uncertainty, service level constraints in multi-echelon systems, and algorithmic approaches for supply chain resilience. His methodologies span stochastic programming, simulation, and reinforcement learning frameworks.

Publications: Recent work includes contributions to APMS2021 and Computers & Operations Research, focusing on inventory system optimization. Current projects involve multi-echelon distribution systems and allocation policy development.