摘要
基于单一制造商和单一零售商构成的逆向供应链系统,应用博弈理论和模糊理论对逆向供应链的协作与定价策略进行了研究.针对回收产品价格的不确定性,将回收价格看作是三角模糊数,采用Chen与H sieh提出的梯级平均综合表示法确定模糊回收价格的解模糊值,由此,建立非合作博弈模型和合作博弈模型,并给出均衡条件下制造商和零售商各自的回收价格策略.最后,举例说明了该方法的有效性.
In the reverse supply chain（RSC） composed of a manufacturer and a retailer,the collaboration and pricing decision are studied applying game and fuzzy theory.The quality uncertainty for recycling products may result in uncertainty of the recycling price.For this reason,considering the recycling price as a triangular fuzzy number,and the graded mean integration representation method is used to confirm defuzzied value of the recycling price.The non-cooperative game equilibriums and a cooperative game equilibrium are obtained.Moreover, the recycling pricing decision under equilibrium circumstance for the manufacturer and the retailer are presented. Feasibility and effectiveness of the approach proposed in this paper are illustrated with a numerical example.
出处
《数学的实践与认识》
CSCD
北大核心
2009年第23期27-35,共9页
Mathematics in Practice and Theory
基金
国家自然科学基金(70771093
70371026)
四川省教育厅项目(Xhjj06-16)
关键词
逆向供应链
博弈理论
模糊理论
梯级平均综合表示法
定价
reverse supply chain
game theory
fuzzy theory
graded mean integration representation method
price decision
