主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
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中国管理科学 ›› 2011, Vol. 19 ›› Issue (3): 70-78.

• 论文 • 上一篇    下一篇

考虑战略顾客行为带预算约束的多产品报童问题

黄松, 杨超, 张曦   

  1. 华中科技大学管理学院, 湖北武汉430074
  • 收稿日期:2010-03-12 修回日期:2011-01-22 出版日期:2011-06-30 发布日期:2011-06-30
  • 作者简介:黄松(1982- ),男(汉族),湖北武汉人,华中科技大学管理学院博士研究生,研究方向:供应链管理、网络优化.
  • 基金资助:

    国家自然科学基金资助项目(70871044,70601011);教育部新世纪优秀人才支持计划项目(NCET-06-0653);华中科技大学研究生科技创新基金项目(HF-07-22-2010-300)

Multi-Product Newsvendor Problem with Budget Constraint and Strategic Customers

HUANG Song, YANG Chao, ZHANG Xi   

  1. School of Management, Huazhong University of Science & Technology, Wuhan 430074, China
  • Received:2010-03-12 Revised:2011-01-22 Online:2011-06-30 Published:2011-06-30

摘要: 动态定价策略的广泛使用使得越来越多的顾客呈现战略性的特点,即顾客在决定购买时机时不仅会考虑当前的价格是否超过其心理预留价格,同时也会考虑到等到降价时再购买产品的可能性,从而延迟购买决策。研究了一类考虑顾客战略行为且带有预算约束的多产品报童问题,引入理性预期均衡分析,得到了报童和战略顾客双方静态博弈时的理性预计均衡解,并进一步分析了数量承诺对于均衡数量和均衡价格的影响。分析了最优解的性质并给出了求解算法,最后通过数值算例对模型的结论进行了验证。

关键词: 多产品报童问题, 战略顾客行为, 理性预期均衡, 预算约束, 定价

Abstract: The widespread use of dynamic pricing strategy has trained customers to be more and more strategic,that is,when customers time their purchase,they not only consider whether the price offered is be-yond their reservation prices,but also consider the possibility of getting it when the price is marked down, therefore,they may delay their purchase.Aclass of multi-product new svendor problem with a budget constraint when considering strategic customer behavior is studied.The rational expectation equilibrium analysis is int roduced and the rational expectation equilibrium solution to the static game between the new svendor and the strategic customers is obtained.The impact of quantity commitment on the equilibrium quantity and equilibrium price is further analyzed.The properties of the optimal solutions are analyzed and asolution procedure is also presented.At last,numerical examples are given to illust rate the conclusions of the proposed model.

Key words: multi-product new svendor problem, strategic customer behavior, rational expectation equilibrium, budget constraint, pricing

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