Network Design for Multi Echelon Reverse Logistics and Solving With Hybrid Algorithm

;Due to environmental concerns along the world, reverse logistics now is becoming an important strategy to decrease resource extraction. This research develops a generic mixed integer linear programming model for reverse logistics network design. This is a multi-echelon reverse logistics model. It maximizes total profit by handling products returned for reuse, refurbishing, remanufacturing, recycling and sale of spare parts. Also considering product variety and bill of material are model features. A hybrid algorithm constructed by genetic algorithm and branch and cut algorithm is proposed to solve the constructed problems. The designed model is validated and tested by using data generated in various size. Sensitivity analyses are conducted on various parameters to illustrate the capabilities of the proposed model.