Reverse logistics network design considering customer convenience and low carbon emissions

Abstract

Reverse logistics planning has to consider operating cost, environmental cost and customer service convenience. Muti-objective programming is applied to establish reverse logistics network planning model. The objective function is to minimize the operating costs of reverse logistics enterprises, minimize carbon dioxide emissions and maximize customer convenience. Decision variables include whether the nodes in reverse logistics network are set up or not, and the volume of logistics transportation between nodes in each stage. Constraints include meeting customer needs, flow balance among logistics nodes in each stage, capacity limitation of facilities, etc. The application of this research model can effectively improve the efficiency and sustainable competitiveness of reverse logistics enterprises.