A Multi Objective Model for Reverse Logistic Considering Discount

Reverse logistics as a new approach and attitude in the area of logistics is one of the new trends in logistics management, recycling, and or reuse of products. Logistics network design in the forward and reverse mode is one of the most important issues that forms the strategic dimension of supply chain design. In this paper we propose a mixed integer linear programming (MILP) model for reverse logistics problem. In the proposed model costs of facilities construction, transportation and procurement from suppliers are minimized and importance of suppliers are maximized. Since the proposed model is NP-hard, we use NSGA-II and NRGA algorithms to solve the problem.