第三方物流的逆向物流网络随机规划模型及其算法

Optimal design of reverse logistics network for third-party logistics in uncertain environment

以不确定环境下的第三方物流的逆向物流网络设计为背景,提出一个再制造逆向物流网络随机规划模型,不确定性条件包括回收产品的数量、质量以及客户的需求量;针对客户需求的变动,考虑正向物流网络上的配送中心供货以平衡客户的需求,通过将期望值方法和机会约束规划方法相结合,设计了该模型的求解方法,并且通过算例中的数值仿真和对置信水平波动的分析,验证了模型的有效性和稳定性。

Form the perspective of third- party logistics remanufacturing reverse logistics network was proposed. in uncertain environment, a stochastic programming model for These uncertain factors involve the quantities and qualities of recycled products and the demanded quantities of products for the clients. Considering the balance of the demand of the clients, the quondam distribution centers of forward logistics network can supply products to the clients. The algorithm to solve the model using the method of expected value method combined with chance constrained programming was proposed. Simulation results and the analysis with different confidence levels demonstrate the validity and the stability of the model.