运筹与管理 ›› 2016, Vol. 25 ›› Issue (1): 133-144.DOI: 10.12005/orms.2016.0018

• 理论分析与方法探讨 • 上一篇    下一篇

随机需求下竞争零售商的定价策略研究

高晓敏, 刘志学, 左晓露   

  1. 华中科技大学管理学院,湖北 武汉 430074
  • 收稿日期:2013-07-25 出版日期:2016-02-25
  • 作者简介:高晓敏(1990-),女,湖北荆门人,硕士研究生,研究方向:供应链协同,物流与供应链管理;刘志学(1963-),男,湖南武冈人,教授,博士生导师,研究方向:库存控制与优化,供应链协同,物流与供应链管理;左晓露(1986-),女,湖北武汉人,博士研究生,研究方向:供应链协同,物流与供应链管理。
  • 基金资助:
    国家自然科学基金资助项目(71372134)

Competitive Retailers’ Pricing Strategy under Stochastic Demand

GAO Xiao-min, LIU Zhi-xue, ZUO Xiao-lu   

  1. School of Management, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2013-07-25 Online:2016-02-25

摘要: 本文研究了随机需求下两竞争零售商的定价策略选择(响应性定价或清仓定价)、产品订货量及响应性价格的联合决策问题。通过将问题转化为一个三阶段的博弈模型,基于Kuhn-Tucker条件求解了两零售商不同定价策略子博弈下的均衡产品订货量及响应性定价决策,分析了不同定价策略子博弈下产品订货量及价格决策的差别以及潜在市场需求不确定(期望和方差变动)对订货量和定价策略的影响。数值分析结果表明,当潜在市场需求服从均匀分布时,响应性定价子博弈是帕累托最优策略,清仓定价子博弈是零售商的均衡策略,混合定价子博弈下两零售商的收益差距较大。

关键词: 响应性定价, 随机需求, 清仓定价, 博弈分析, 均衡策略

Abstract: This paper studies a joint pricing policy(responsive pricing or market clearance pricing), product order quantity and responsive pricing decision for two competitive retailers under a stochastic demand environment. By developing a three-stage game model, based on the Kuhn-Tucker condition, two retailers’ equilibrium order quantity and responsive pricing decisions under different pricing subgames are obtained, the differences of the order quantity and responsive pricing decisions of the four pricing subgames are analyzed, and the impact of demand uncertainty on order quantity and pricing policy are investigated as well. The numerical analysis shows that, when the potential market demand is uniformly distributed, responsive pricing subgame will be Pareto optimal, however, market clearance pricing subgame is the equilibrium pricing strategy of the retailers, and there is a huge income gap between the retailers under the mixed pricing subgame.

Key words: responsive pricing, stochastic demand, clearance pricing, game analysis, equilibrium strategy

中图分类号: