A Goal Programming Model for Reverse Logistics Network Planning

The purpose of this paper is to formulate a mixed integer goal programming (MIGP) model to assist in reverse logistics network planning. The objective is to minimize the total cost (callback cost, transportation cost, operation cost, fixed cost for new facilities, revenues) and the environmental affects. The proposed model assists in determining the facility location and goods flows allocation in the logistics system. We apply this model using an example of refrigerator recycling in China.