Robust optimization of integrated reverse logistic network design at uncertain conditions

Abstract

In this paper, integrated direct and reverse logistics considering production, distribution, customer, devastation, retrieval centers under uncertainty are developed. In this model, cost parameters are not certain, thus the scenario-based robust optimization method is applied. The aim of this model is to minimize the total cost and obtain a robust solution. Finally, a practical case study is presented to verify the proposed model. Moreover an efficient solution algorithm is presented. The computational results illustrate the efficiency of the proposed approach.