报告题目 | Managing Perishable Inventory Systems with Positive Lead Times: Inventory Position vs. Projected Inventory Level |
报告人（单位） | 龚锡挺(香港中文大学) |
主持人（单位） | 李四杰、陈静（best365官方网站登录入口） |
时间地点 | 2024年9月24日上午10点 九龙湖校区经管楼B201 |
报告摘要和内容： We consider periodic-review perishable inventory systems with a fixed product lifetime and positive replenishment lead times. Demands are satisfied by on-hand inventories of different ages following a general issuance policy. Unsatisfied demand is either backlogged or lost. The objective is to minimize the long-run average holding, penalty, and outdating costs. The optimal replenishment policy for these systems is notoriously complex and intractable due to the curse of dimensionality. Previous studies have shown that the class of base-stock policies, which maintains a constant inventory position in each period, performs poorly when the unit penalty cost is large. In this paper, we propose a more appealing class of projected inventory level (PIL) policies that maintains a constant expected on-hand inventory level at the time of each order arrival. Among many other results, we prove that for both backlogging and lost-sales systems, the best PIL policy is asymptotically optimal with large unit penalty costs under a large class of demand distributions and with large market sizes under mild conditions. Numerically, the best PIL policy performs close to optimal and much better than the best base-stock policy. This is joint work with Jinzhi Bu (HK PolyU) and Huanyu Yin (CUHK). | |
报告人简介：
龚锡挺现为香港中文大学商学院决策、营运与科技学系教授。在加入香港中文大学之前，他曾在美国密歇根大学工业与运作工程系从事博士后研究。他在北京大学数学科学学院获得学士学位、光华管理学院获得硕士与博士学位。他的主要研究领域是运营与供应链管理，包括随机库存管理、固定寿命易逝品库存管理、回收再制造生产库存管理、收益管理与定价等。他在Management Science、Operations Research、Production and Operations Management等管理科学领域的国际顶级学术期刊发表了十多篇论文。他主持了多项由香港研究资助委员会资助和一项由华为公司资助的随机库存管理科研项目、并获得国家杰出青年科学基金项目资助。他目前担任国际学术期刊Naval Research Logistics和Operations Research Letters的副主编。 | |
