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Solving A Reverse Logistic Model For Multilevel Supply Chain Using Genetic Algorithm
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نویسنده
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Mahmoudi H. ,Sharifi M. ,Shahriari M. R. ,Shafiee M. A.
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منبع
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International Journal Of Industrial Mathematics - 2020 - دوره : 12 - شماره : 2 - صفحه:177 -188
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چکیده
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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.
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کلیدواژه
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Supply Chain; Reverse Logistic; Discount; Genetic Algorithm
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آدرس
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Islamic Azad University, Uae Branch, Department Of Industrial Engineering, United Arab Emirates, Islamic Azad University, Qazvin Branch, Department Of Industrial & Mechanical Engineering, Iran, Islamic Azad University, South Tehran Branch, Department Of Management & Accounting, Iran, Islamic Azad University, Uae Branch, Department Of Computer Science, United Arab Emirates
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پست الکترونیکی
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shafiee@iau.ae
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Authors
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