Title of article :
Solving a Reverse Logistic Model for Multilevel Supply Chain Using Genetic Algorithm
Author/Authors :
Mahmoudi ، H. Department of Industrial Engineering - Islamic Azad University, UAE Branch , Sharifi ، M. Department of Industrial Mechanical Engineering - Islamic Azad University, Qazvin Branch , Shahriari ، M. R. Department of Management Accounting - Islamic Azad University, South Tehran Branch , Shafiee ، M. A. Department of Computer Science - Islamic Azad University, UAE Branch
Abstract :
In this paper, we present a new mathematical model for designing a reverse logistic network. The model is multiproduct, multilevel, and multiperiod. It minimizes transportation and 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 products. Because the presented problem belongs to Np-hard problems, we use genetic algorithm to solve it.
Keywords :
Supply chain , Reverse logistic , Discount , Genetic algorithm
Journal title :
International Journal of Industrial Mathematics(IJIM)
Journal title :
International Journal of Industrial Mathematics(IJIM)
