报告题目 | Inventory Routing Problem under Uncertainty |
报告人(单位) | 龙卓瑜 (Chinese University of Hong Kong) |
主持人(单位) | 李四杰、陈静(东南大学) |
时间地点 | 2023年4月 21日(周五)10:00 腾讯会议:547-754-567 |
报告摘要和内容: We study an uncertain inventory routing problem with a finite horizon. The supplier acts as a central planner who determines the replenishment quantities and also the delivery times and routes 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. | |
Daniel Zhuoyu LONG is an associate professor at the Department of Systems Engineering & Engineering Management, The Chinese University of Hong Kong (CUHK). Before joining CUHK, he received his Ph.D. degree from the Department of Analytics and Operations at the National University of Singapore in 2013, his master degree from the Chinese Academy of Science in 2008, and his bachelor degree from Tsinghua University. His research interests revolve around distributionally robust optimization, risk management, and broad applications in supply chain management, revenue management, and project management. His papers have been awarded as a finalist in the best OM paper in OR 2021 and the first prize in the Best Paper Award at the CSAMSE conference 2022. |