需求不确定下物流服务供应链协调

为解决需求不确定条件下的物流服务供应链的协调问题,提出了一种竞争联盟的协调方法.首先研究了由单一物流服务集成商和单一物流服务提供商组成的两级物流服务供应链系统,建立了市场需求受价格敏感的随机变量条件下的集中协调、Stackelberg主从协调、竞争联盟协调的数学模型,并分析了不同协调方法的最优解的实现条件.最后通过数值实验与比较分析,证明了竞争联盟协调方法能实现集中协调供应链的绩败水平,且优于Stackelberg主从协调方法.

Logistics service supply chain coordination under demand uncertainty

To solve the coordination problem of logistics service supply chain under demand uncertainty, a method of competitive aligned coordination was proposed. Firstly, the two-echelon logistics supply chain with one logistics service integrator and one functional logistics service provider was studied, and. the mathematical model of centralized coordination, Stackelberg game coordination and competitive aligned coordination was developed based on the market which was characterized by a price-sensitive random demand, and then the realization condition for optimal solution under different coordination strategies was presented. Finally, a numerical experiment was presented to illustrate the coordination strategies, and the result showed that competitive aligned coordination strategy could generate better performance for the whole logistics service supply chain of centralized coordination, and achieved greater profit than Stackelberg game coordination strategy as well.