Research on Reverse Logistics Network Optimization Based on Robust Optimization

摘要

Considering the uncertainty of recovery and remanufacturing productivity rates in the reverse logistics remanufacturing process, we describe it by adopting the discrete scenarios of non-probabilistic and establish a multi-objective remanufacturing reverse logistics LRP robust model based on the NPRO. Lingo 10 is used to solve the specific example, and then compared with the optimization values of objective function under the corresponding certain environment. The results verify the robustness of the model.