报告题目：Inventory Routing Problem under Uncertainty
报 告 人：崔政（The Chinese University of Hong Kong, Ph.D. Candidate）
主 持 人：王杉（中山大学岭南学院 助理教授）
We study a stochastic inventory routing problem with a finite horizon. The supplier acts as a central planner who determines replenishment quantities and also the times and routes for delivery to all retailers. We allow ambiguity in the probability distribution of each retailer's uncertain demand. Adopting a service-level viewpoint, we minimize the risk of uncertain inventory levels violating a pre-specified acceptable range. We quantify that risk using a novel decision criterion, the Service Violation Index, that accounts for how often and how severely the inventory requirement is violated. The solutions proposed here are adaptive in that they vary with the realization of uncertain demand. We provide algorithms to solve the problem exactly and then demonstrate the superiority of our solutions by comparing them with several benchmarks.
Zheng CUI received his bachelor degree from the University of Science and Technology of China in 2014, and the Ph.D. degree from the Department of Systems Engineering & Engineering Management, The Chinese University of Hong Kong in 2018. His research interests lie in data-driven and target-based decision making under uncertainty with applications in operations management, especially in the area of Supply Chain Management, Robust Optimization, and Target-based Risk Management. Additionally, he got the APICS Certified in Production and Inventory Management (CPIM) certification in 2017. He is currently working at the Noah's Ark Lab of HUAWEI.