Design a Multi-Period Reverse Logistics Network in Multi-Echelon Supply Chain Using Particle Swarm Optimization Algorithm

Regarding the supply chain management (SCM), this paper emphasizes on developing a mathematical model for solving the multi-period reverse logistics (MPRL) planning problem in a multi-echelon supply chain system. The RL presented in this research lays an emphasis on defected products caused in production and transportation processes. The supply chain members shall submit the defected products found in the making process to their up-level partners for reproduction. To solve this problem, this research is to employ particle swarm optimization algorithm to find the optimal solution. Finally, the case study analysis reveals that the mathematical model and solving method presented in this research can effectively plan the process of MPRL in a multi-echelon supply chain system.