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机构地区:[1]中南大学商学院管理科学与信息管理系,长沙410083
出 处:《计算机应用研究》2016年第11期3289-3292,3319,共5页Application Research of Computers
基 金:国家自然科学基金资助项目(71071163)
摘 要:针对闭环供应链联盟策略问题,建立了两周期模型,采用Stackelberg博弈、Kuhn-Tucker条件等方法研究了分散决策、单个制造商分别与零售商联盟、两个制造商联盟以及三方联盟四种策略,并得出各联盟下供应链成员的最优定价及生产决策。通过Shapley值法确定利益协调机制,并利用数值仿真对四种联盟策略进行求解和分析。研究结果表明,从制造商角度看,最优策略为三方联盟;从零售商角度看,最优策略为与单个制造商联盟;博弈均衡为三方联盟策略。In order to analyse the issues of strategy for enterprise alliance in closed-loop supply chain, this paper developed 2- cycle models, with the method of Stackelberg game and Kuhn-Tucker conditions. It studied 4 strategies : decentralized decision making, alliance between 1 manufacturer and retail, alliance between 2 manufacturers and alliance of all. It presented the va- lue algorithm to confirm the profit coordination, and then implemented the analysis on the solution of the model by numerical simulation. The results show that, alliance of all is the best strategy for manufacturers, and alliance between 1 manufacturer and retail is the best strategy for retail. Alliance of all is the equilibrium strategy.
关 键 词:闭环供应链 联盟 STACKELBERG博弈 KUHN-TUCKER条件 SHAPLEY值 策略
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