A Periodic Review Inventory System with S-Shaped Utility Function

29 Pages Posted: 31 Jul 2016

See all articles by Xiaobo Zhao

Xiaobo Zhao

Tsinghua University - Department of Industrial Engineering

Wei Geng

School of Economics and Management, Southwest Jiaotong University

Xiuli Chao

University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering

Deng Gao

Tsinghua University - Department of Industrial Engineering

Date Written: July 29, 2016

Abstract

Prospect theory shows that human behavior in decision making can often be characterized by an S-shaped utility function. In this paper, we consider a periodic review inventory system with an exponential-type S-shaped utility function. The objective is to maximize the total expected utility over the planning horizon. We show that, for the single-period case without setup cost, a state-dependent order-up-to policy is optimal, to which it is not difficult to obtain the optimal order-up-to level. For the multi-period case without setup costs, we partially characterize the optimal policy when the demand distributions are log-concave, and present an iterative algorithm for computing the optimal policy. Numerical studies are conducted to illustrate the impact of parameters on the system performance and optimal policies. The results show that the ordering behavior of the inventory manager can be significantly different from those derived from the classical models. It is also shown that the approaches in this paper can be applied to both single-period and multi-period systems with setup costs for obtaining optimal policies.

Keywords: inventory; S-shaped utility function; periodical review; order-up-to policy

Suggested Citation

Zhao, Xiaobo and Geng, Wei and Chao, Xiuli and Gao, Deng, A Periodic Review Inventory System with S-Shaped Utility Function (July 29, 2016). Available at SSRN: https://ssrn.com/abstract=2816197 or http://dx.doi.org/10.2139/ssrn.2816197

Xiaobo Zhao (Contact Author)

Tsinghua University - Department of Industrial Engineering ( email )

Beijing
China

Wei Geng

School of Economics and Management, Southwest Jiaotong University ( email )

No. 111, Sec. North 1, Er-Huan Rd.
Chengdu
Chengdu, Sichuan 610031
China

Xiuli Chao

University of Michigan at Ann Arbor - Department of Industrial and Operations Engineering ( email )

1205 Beal Avenue
Ann Arbor, MI 48109
United States

Deng Gao

Tsinghua University - Department of Industrial Engineering ( email )

Beijing
China

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