Risk tolerance and a retailer's pricing and ordering policies within a newsvendor framework

被引:37
作者
Arcelus, F. J. [2 ]
Kumar, Satyendra [3 ]
Srinivasan, G. [1 ]
机构
[1] Univ New Brunswick, Fac Business Adm, Fredericton, NB, Canada
[2] Univ Publ Navarra, Dept Gest Empresas, Navarra 31006, Spain
[3] JDA Software India Pvt Ltd, Hyderabad 500081, Andhra Pradesh, India
来源
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2012年 / 40卷 / 02期
基金
加拿大自然科学与工程研究理事会;
关键词
Supply chain management; Inventory management; Newsvendor problem; Price-dependent demand; Degree of risk tolerance; Alternate optimization objectives; MEAN-VARIANCE ANALYSIS; SINGLE-PERIOD; SUPPLY CHAIN; CHANNEL COORDINATION; PERFORMANCE-MEASURES; NEWSBOY PROBLEM; AVERSE; DECISION; CONTRACTS; MODEL;
D O I
10.1016/j.omega.2011.05.007
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper evaluates the pricing and ordering policies of a retailer, facing a price-dependent stochastic demand, within a newsvendor framework, under different degrees of risk tolerance and under a variety of optimizing objectives. These are (i) maximizing expected profit, for a retailer who may be risk-seeker, risk-averse or risk neutral; (ii) deriving a maximin strategy of maximizing a minimum guaranteed profit and (iii) modeling the probability of exceeding a target profit, as a constraint or as an objective. Some analytical properties and numerical examples illustrate the main features of the models and provide some comparative policy analysis across the model. (C) 2011 Elsevier Ltd. All rights reserved.
引用
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页码:188 / 198
页数:11
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