Approach to designing reverse logistics network for product recovery

Abstract

An approach to designing reverse logistics network for product recovery that incorporates multi-objective functions, multi-period planning horizon, and uncertainty is developed. The approach consists of mixed integer programming model to represent the multi-objective, multi-period problem of network design (solved using spanning tree-based genetic algorithms) and simulation models to incorporate uncertainty.