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研究了随机需求下由多个制造商、零售商、需求市场和回收中心组成的多期闭环供应链网络,其中网络各成员的产量、交易量、需求量和需求市场的价格随着时间周期动态地变化,由库存量的调整来延续网络各成员决策的发展。在考虑随机需求和顾客满意度的基础上,分别构建了多期闭环供应链网络中各成员利润最大化的模型,利用均衡理论和变分不等式理论得到其均衡条件,最终得到整个多期闭环供应链网络均衡。通过求解满足等式、不等式约束变分不等式的对数二次逼近预测校正法得到在一定顾客满意度基础上的网络中,各成员每个生产周期的均衡产量、交易量、库存量和需求市场的价格。通过算例验证了模型及算法的有效性,并对顾客满意度灵敏度分析,得到其对网络各成员决策和利润的影响。
A multi-period closed-loop supply chain network consisting of multiple manufacturers, retailers, demand markets and recycling centers under stochastic demand is studied. The production, trading volume, demand and market price of each member of the network vary with the time period Changes in the inventory from the adjustment of the continuation of the members of the network decision-making development. On the basis of considering stochastic demand and customer satisfaction, the profit maximization models of multi-period closed-loop supply chain networks are respectively constructed. Equilibrium conditions and variational inequality theory are used to obtain the equilibrium conditions, and finally the entire multi-period closed-loop supply Chain network equilibrium. By solving the logarithm quadratic approximation predictive correction method that satisfies the equality and inequality constraints variational inequality, the equilibrium output, trading volume, inventory and demand market of each member in the production cycle based on certain customer satisfaction are obtained. the price of. The validity of the model and the algorithm is verified through an example. And the sensitivity of customer satisfaction is analyzed to get the influence on the decision and profit of each member of the network.