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研究由多个供应商,制造商,(一级,二级)零售商,(一级,二级)需求市场,回收中心组成的七层闭环供应链网络,需求市场区分为新产品需求市场(一级需求市场)和旧货需求市场(二级需求市场),其中新产品需求市场需求是随机的,应用蒙特卡洛方法对随机需求模拟和采样.回收中心把从一级需求市场回收的废旧产品进行分类管理,分别把可循环利用的原材料给供应商,把可再制造的废旧产品给制造商,把可修理产品回收中心自己处理.再制造产品同修理后产品通过二级零售商满足二级需求市场.分别构建了基于随机需求的闭环供应链网络中各成员利润最大化模型,利用均衡理论和变分不等式理论得到网络各成员的均衡条件,最终得到整个闭环供应链网络的均衡.通过求解满足等式约束变分不等式的对数二次逼近预测校正法(LQP-PC)得到闭环供应链网络各成员利润最大化的均衡采购量,交易量,新产品和旧货需求市场的价格.最后通过算例及对废旧产品分配比率灵敏度分析,说明了废旧产品分类管理的重要性.
This paper studies a seven-layer closed-loop supply chain network consisting of multiple suppliers, manufacturers, (primary and secondary) retailers, (primary and secondary) demand markets and recycling centers. The demand markets are divided into new product demand markets Primary demand market), and second-hand demand market (secondary demand market), in which market demand for new product demand is random, Monte-Carlo method is used to simulate and sample random demand.Recycling centers take the waste Products are classified management, respectively, the recyclable raw materials to suppliers, the remanufactured waste products to the manufacturer, the repairable product recycling center to deal with their own. Remanufactured products with repaired products through two retailers to meet two Level demand market, the profit maximization models of each member in the closed-loop supply chain network based on stochastic demand are respectively constructed, the equilibrium conditions of each member of the network are obtained by the equilibrium theory and the variational inequality theory, and finally the equilibrium of the entire closed-loop supply chain network is obtained. Solve the logarithm quadratic approximation predictive correction method (LQP-PC) that satisfies the equality constraint variational inequality and obtain the equilibrium of maximizing the profit of each member of the closed-loop supply chain network Purchase volume, transaction volume, price of new products and the demand of the second-hand market.Finally, the importance of classification management of used products is illustrated through the analysis of the sensitivity of analysis and the ratio of distribution of used products.