随机环境下再制造逆向物流网络优化设计

Stochastic Optimal Design of Remanufacturing Reverse Logistics Networks

建立了在第三方逆向物流企业参与情况下的再制造逆向物流网络随机规划模型,给出了用期望值方法和机会约束规划方法求解模型的步骤。通过实例数值仿真,证明了该模型的可行性,揭示了回收量的波动对最优选址策略的影响。

A stochastic programming model involving the third party reverse logistics enterprises was proposed. The algorithm for solving the model using the method of expected value method combined with chance constrained programming was proposed. Simulation results validate the model and show that the quantity of callback affects the results greatly.