In this paper we present a new mathematical model for designing a reverse logistic network. The model is multi-product, multi-level, and multi-period. It minimizes transportation cost, facilities establishing cost, and lowers purchasing from suppliers. The price of products depends on the cost of purchases and suppliers present different discounts on their product prices. Because the presented problem belongs to Np. Hard problems, we use genetic algorithm to solve it. Manuscript profile