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随机环境下再制造产品的定价策略研究
引用本文:林欣怡,孙浩,达庆利.随机环境下再制造产品的定价策略研究[J].运筹与管理,2012,21(3):148-153.
作者姓名:林欣怡  孙浩  达庆利
作者单位:1. 东南大学经济管理学院,江苏南京210096;中州技术学院行销与流通管理系,台湾彰化51005
2. 青岛大学国际商学院管理科学与工程系,山东青岛,266071
3. 东南大学经济管理学院,江苏南京,210096
基金项目:国家自然科学基金资助项目,教育部人文科技基金资助项目
摘    要:再制造产品的定价是逆向供应链中重要的决策问题之一。依据目前我国废旧品回收和再制造的运作机制,在随机环境下建立了以传统生产厂为主导、再制造工厂为从属的Stackelberg博弈模型,分析了新产品与再制造产品的差异定价策略,结合数值算例给出了最优的定价结果。并进一步将模型进行扩展,考虑了二者形成垂直纳什均衡以及存在集成厂商时的情形。研究表明:集成厂商对两种产品的定价最高,系统收益也最大,Stack-elberg情形次之,纳什均衡时最低。

关 键 词:逆向供应链  回收  再制造  定价策略  Stackelberg博弈  垂直纳什均衡

Research on Pricing Policies of Remanufactured Products under Stochastic Environment
LIN Xin-yi , SUN Hao , DA Qing-li.Research on Pricing Policies of Remanufactured Products under Stochastic Environment[J].Operations Research and Management Science,2012,21(3):148-153.
Authors:LIN Xin-yi  SUN Hao  DA Qing-li
Institution:1 (1.School of Economics and Management,Southeast University,Nanjing 210096,China;2.Chung Chou Institute of Technology,Changhua 51003,Taiwan,China;3.Department of Management Science and Engineering,International Business College of Qingdao University,Qingdao 266071,China)
Abstract:Pricing remanufactured products is one of the most important decision problems in reverse supply chains.According to the operating mechanisms of collecting and remanufacturing EOL products in our country at present,a Stackelberg game model is bulit under the stochastic environment,in which the traditional manufacturer is the leader and the remanufacturing factory is the follower.New and remanufactured products ’ differentiated pricing strategies are analyzed and their optimal pricing results are given combined with numerical examples.Moreover,the model is extended by considering two other decision patterns: Vertical Nash Equibrium and Integrated Factory.The research shows that the optimal prices of both products and system profits decrease in an order of Integrated Factory,Stackelberg game and Vertical Nash Equibrium.
Keywords:reverse supply chains  collection  remanufacturing  pricing strategies  Stackelberg game  vertical Nash equibrium
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