模糊竞争环境下供应链企业联盟的收益分配策略  

Profit Allocation of Enterprise Coalition in Supply Chain Under Fuzzy Competitive Environment

作　　者：孙红霞[1] 李煜[1] 

机构地区：[1]北京工商大学商学院,北京100048

出　　处：《统计与决策》2017年第8期173-177,共5页Statistics & Decision

基　　金：国家自然科学基金资助项目(71401003);教育部人文社会科学研究青年基金项目(14YJC630114)

摘　　要：文章通过引入三角模糊数将市场需求函数和企业单位成本模糊化,研究了模糊竞争环境下的联盟结构合作博弈的收益分配问题。收益分配方案基于两个阶段:首先,将优先联盟看成单个局中人,运用古诺市场竞争模型将各优先联盟间的Nash均衡解求出,求得各优先联盟的最优模糊利润;其次,用模糊Shapley值在各局中人之间分配优先联盟在竞争中取得的最优模糊利润;最后以汽车供应链中的企业收益分配为例说明该方法的合理性与可行性。By introducing triangular fuzzy numbers to market demand function and unit cost of enterprises, this paper studies the profit allocation of coalition structure in cooperative game under fuzzy competitive environment. Profit allocation plan is based on two bargaining levels. Firstly, priority union is regarded as a single player, and the Nash equilibrium solution and optimal fuzzy profit are obtained by using Cournot model. Secondly, the optimal fuzzy profit is allocated within each priority union by using fuzzy Shapley values. Finally, an example about auto supply chain is shown to highlight the procedure of the proposed model.

关 键 词：联盟结构 古诺模型 模糊Shapley值 企业联盟 

分 类 号：O225[理学—运筹学与控制论]