A Risk-Sensitive Model for Managing Perishable Products
成果类型：
Article
署名作者：
Feng, Youyi; Xiao, Baichun
署名单位：
Chinese University of Hong Kong; Long Island University; Long Island University Post; Southwest Jiaotong University
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1080.0561
发表日期：
2008
页码：
1305-1311
关键词：
摘要：
This article presents a risk-sensitive model for managing perishable products assuming the supplier is averse to the variation of revenues. While traditional risk-neutral revenue management models offer optimal strategies in the long run, they are exposed to the variation of revenue flows. If a short-term revenue target is a primary concern for the supplier, the risk-neutral assumption fails to provide the best policy needed. The proposed model uses an exponential function with a risk-sensitive parameter instead of the conventional risk-neutral objective. The risk parameter measures how the supplier is sensitive to the deviation of revenues. We show that the new objective function captures the supplier's risk behavior. We develop a recursive procedure for the optimal solution in closed form. The optimal policy has attractive properties such as nested active price set, monotonicity with respect to the remaining time and inventory, and threshold-type control. When the supplier is more sensitive to the uncertain revenue flows, the risk-sensitive model leads to more conservative pricing policies. Finally, we show that the risk-neutral model is a special case of the proposed framework.