Solving a Reverse Logistic Model for Multilevel Supply Chain Using Genetic Algorithm
الموضوعات : مجله بین المللی ریاضیات صنعتیH. Mahmoudi 1 , M. Sharifi 2 , M. R. Shahriari 3 , M. A. Shafiee 4
1 - Department of Industrial Engineering, UAE Branch, Islamic Azad University, Dubai, UAE.
2 - Department of Industrial \& Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
3 - Department of Management \& Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran.
4 - Department of Computer Science, UAE Branch, Islamic Azad University, Dubai, UAE.
الکلمات المفتاحية: Reverse logistic, Discount, Genetic algorithm, Supply chain,
ملخص المقالة :
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.
