计算机集成制造系统 ›› 2017, Vol. 23 ›› Issue (第6期): 1352-1358.DOI: 10.13196/j.cims.2017.06.022

• 产品创新开发技术 • 上一篇    下一篇

风险规避下产品服务供应链售前服务优化策略

张旭梅1,2,寇军1,2,冷金钟1,2,王大飞1,2,但斌1,2   

  1. 1.重庆大学经济与工商管理学院
    2.重庆大学现代物流重庆市重点实验室
  • 出版日期:2017-06-30 发布日期:2017-06-30
  • 基金资助:
    国家自然科学基金资助项目(71272086);国家科技支撑计划资助项目(2015BAF05B01)。

Optimal pre-sale service strategy of product service supply chain with risk aversion

  • Online:2017-06-30 Published:2017-06-30
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.71272086),and the National Key Technology R&D Program,China(No.2015BAF05B01).

摘要: 针对由一个售前服务商和一个制造商组成的产品服务供应链中,供应链决策主体具有风险规避特征的合作契约设计问题,建立了服务商和制造商的效用模型,得出了分散决策和集中决策下的最优均衡解,分析了双方风险规避系数对决策主体行为的影响。对比两种决策模型发现,相对于分散决策,集中决策下的服务水平提高、服务商效用降低、制造商效用增加,据此提出一种实现供应链系统Pareto改善的收益共享契约。通过数值仿真验证了收益共享契约的有效性。

关键词: 产品服务供应链, 风险规避, 售前服务, 优化策略

Abstract: Aiming at the product service supply chain consisted of a pre-sale service provider and a manufacturer,a cooperation contract problem was researched when the supply chain members were risk aversion.By building a mean-variance model,optimal equilibrium solutions were obtained under a decentralized and a centralized product service supply chain.Moreover,the impact of risk aversion coefficient on the optimal decision-making behavior was analyzed.The result showed that compared with the decentralized decision-making,the service provider's service level became higher and its utility became lower,while the manufacturer's utility increased significantly in the centralized decision-making.Therefore,a revenue-sharing contract was proposed that improved the supply chain system utility.Numerical examples showed that the utilities of two members were improved as long as the revenue-sharing coefficient was located in a certain range.Meanwhile,the more risk-averse the service provider was,the smaller the revenue sharing coefficient range would be,and the more risk-averse the manufacturer was,the greater the revenue sharing coefficient range would be.

Key words: product service supply chain, risk aversion, pre-sale service, optimal strategy

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