Modeling the benefits of sharing future demand information
成果类型：
Article
署名作者：
Zhu, KJ; Thonemann, UW
署名单位：
Hong Kong University of Science & Technology; University of Munster
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1030.0061
发表日期：
2004
页码：
136-147
关键词：
摘要：
We analyze how sharing of future demand information (FDI) can help companies to lower cost. FDI is imperfect information on the customer demands of the upcoming period. We consider a supply chain with a single retailer and multiple customers, where customer demands are normally distributed and correlated. The retailer faces two decisions: With which customers should information be shared and how much should be ordered? We model the problem as a two-stage dynamic program, develop an optimal solution approach, and provide structural insights into the optimal extent of FDI sharing. We show that information cost and demand correlation are important factors for determining the optimal extent of FDI sharing. For a simplified version of the problem where only a single customer is contacted, we analyze how the optimal solution is affected by nonidentically distributed or nonuniformly correlated demands.