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研究随机需求量与回收量条件下无价格差异的闭环供应链集中决策和分散决策问题.假设新产品与再造品价格相同,在不确定性需求量与回收量的前提下,建立了集中决策与分散决策的Stackelberg模型,探讨了闭环供应链成员如何确定最优产品价格,订货量,回收努力等问题.通过数值仿真,比较分析了集中决策与分散式Stackelberg决策模型的最优解,通过相关参数的变动,分析了对闭环供应链系统以及各成员的决策变量与期望利润的影响.最后,总结仿真得出的相关结论.
This paper studies the centralized decision-making and decentralized decision-making of closed-loop supply chain with no price difference under the condition of stochastic demand and quantity of recovery.It is assumed that the prices of new products and remanufactured products are the same, under the premise of uncertainty demand and recovery quantity, The Stackelberg model of decentralized decision-making, discusses how the closed-loop supply chain members determine the optimal product price, order quantity, recycling efforts, etc. By numerical simulation, the optimal solution of the centralized decision-making and decentralized Stackelberg decision-making model is comparatively analyzed, The impact of the decision variables and expected profits on the closed-loop supply chain system and its members is analyzed.Finally, the relevant conclusions drawn from the simulation are summarized.