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讲座:Multilocation Newsvendor Problem: Centralization and Inventory Pooling

发布者:人力资源办公室    发布时间:2019-03-15

运营管理系学术讲座 

题 目:Multilocation Newsvendor Problem: Centralization and Inventory Pooling

演讲人:Zhou, Sean Xiang  教授 香港中文大学

主持人:王彤 助理教授 上海交通大学安泰经济与管理学院

时 间:2019年3月22日(周五) 14:00-15:30

地 点:上海交通大学徐汇校区 包图A303室

 

讲座摘要:

We study a multilocation newsvendor model with a retailer owning multiple retail stores, each of which is operated by a manager who decides the order quantity for filling random customer demand of a product. The store managers and the retailer are all risk-averse while the managers are more risk-averse than the retailer. We adopt conditional value-at-risk (CVaR) as the performance measure and consider two alternative strategies to improve the performance of the system. First, the retailer centralizes the ordering decisions. Second, the managers still decide the order quantity for their own store whereas their inventories are pooled together. We analyze and compare the optimal order quantities and the resulting CVaR values of the systems and study their comparative statistics. We find that when there is no inventory pooling, each store has a higher inventory level in the centralized system than in the decentralized system. More interestingly, centralization brings positive benefits to the retailer as long as some store manager(s) is strictly more risk-averse than the retailer. When there is inventory pooling, the ordering decisions in a decentralized system depend on how the additional profit from pooling is allocated among the stores. We consider several allocation rules and show that as long as the store managers are sufficiently more risk-averse than the retailer or the demands are very heavy-tailed, inventory pooling brings less benefit than centralization. We further derive a lower bound on the value of centralization and two upper bounds on the value of inventory pooling. Finally, our analytical results are illustrated using a data set from an online retailer in China and various comparative statics are further examined via extensive numerical experiments. This is joint work with Zhenyu Hu (NUS) and Chaolin Yang (SUFE).

 

嘉宾简介:

Sean Zhou is a professor in the Department of Decision Sciences and Managerial Economics, CUHK Business School, the Chinese University of Hong Kong (CUHK). He is also the director of the Supply Chain Research Center under the Asian Institute of Supply Chain and Logistics in CUHK. He received his B.S. in Electrical Engineering from Zhejiang University, China and his M.S. and Ph.D. in Operations Research from North Carolina State University. His main research interest includes inventory control, pricing, sustainable operations, and game theoretic applications in supply chain management. He serves on the editorial board of IIE Transactions, NRL, and OR Letters.


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