Solving a Reverse Logistic Model for Multilevel Supply Chain Using Genetic Algorithm
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 56
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شناسه ملی سند علمی:
JR_IJIM-12-2_007
تاریخ نمایه سازی: 26 دی 1402
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
H. Mahmoudi
Department of Industrial Engineering, UAE Branch, Islamic Azad University, Dubai, UAE.
M. Sharifi
Department of Industrial \& Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
M. R. Shahriari
Department of Management \& Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran.
M. A. Shafiee
Department of Computer Science, UAE Branch, Islamic Azad University, Dubai, UAE.