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中国管理科学 ›› 2018, Vol. 26 ›› Issue (5): 109-117.doi: 10.16381/j.cnki.issn1003-207x.2018.05.011

• 论文 • 上一篇    下一篇

零售商长期后悔规避的供应链网络动态均衡

徐明姣, 周岩   

  1. 青岛大学管理科学与工程系, 山东 青岛 266071
  • 收稿日期:2017-06-04 修回日期:2018-01-12 出版日期:2018-05-20 发布日期:2018-07-30
  • 通讯作者: 周岩(1979-),女(汉族),山东青岛人,青岛大学管理科学与工程系,副教授,博士,硕士生导师,研究方向:供应链管理,E-mail:yanyanz22@hotmail.com. E-mail:yanyanz22@hotmail.com
  • 基金资助:

    国家自然科学基金资助项目(71771129,71740011);中国博士后科学基金面上资助项目(2016M592151);山东省研究生教育创新计划项目(SDYY15032);山东省自然科学基金资助项目(ZR2016GM01)

Dynamic Equilibrium of a Supply Chain Network Based on Retailers' Long-term Regret Aversion

XU Ming-jiao, ZHOU Yan   

  1. Department of Management Science and Engineering, Qingdao University, Qingdao 266071, China
  • Received:2017-06-04 Revised:2018-01-12 Online:2018-05-20 Published:2018-07-30

摘要: 本文研究了基于时变随机需求的供应链网络动态均衡。由于需求的不确定性和季节性,网络中的零售商会考虑缺货后悔和存货后悔的负效用,基于长期后悔规避效用做出最优决策。利用变分不等式,刻画了网络中制造商层、考虑长期后悔规避效用的零售商层和需求市场层的均衡决策行为。通过数值算例,基于三种长期后悔情形分析了零售商长期后悔规避行为对其均衡订购量、利润、后悔值的影响。研究结果表明,零售商的长期后悔规避程度在不断增加、保持不变,不断减少这三种情况下,对其均衡订购量、利润、后悔值的影响不同。研究结论将指导供应链网络中企业,基于长期后悔规避制定最优决策。

关键词: 供应链网络, 动态均衡决策, 后悔规避, 长期

Abstract: In this paper, a dynamic equilibrium of a supply chain network, in which the demand is time-varying and random, is studied. Since the demand is uncertain and seasonal, the retailers in the network consider the negative effect of under-stock regret and over-stock regret, and make their optimal decisions based on long-term regret aversion. The optimal decision behaviors of manufactures, retailers considering the long-term regret aversion and demand markets are modeled by the variational inequalities. Numerical examples are given in three long-term regret cases to find the effect of retailers' long-term regret aversion on the equilibrium order quantities, profits and regret values. The results show that the equilibrium order quantities, profits and regret values are different when the degree of retailers' regret aversion are in the increasing case, unchanging case, and decreasing case. These conclusions can provide supposes for the decision makers of the supply chain network to make the best decisions considering the long-term regret aversion.

Key words: supply chain network, dynamic equilibrium, regret aversion, long-term

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