The Optimization Model and Algorithm of Reverse Logistics Network for Resource Recovery

Abstract

Considering the location, storage, transportation and service in the reverse logistics network of resource recycling, this paper puts forward a multi-echelon reverse logistics network which includes customers, initial collection point, centralized recycling center and recovery processing factory. Based on the constraint of facility capacity and customer demand, this paper establishes the 0-1 mixed integer programming model. We use Lingo 8.0 to solve it and prove it is feasible, combined with the example and the simulation analysis of it.