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Fuzzy Goal Programming For Linear Facility Location-Allocation in A Supply Chain; the Case of Steel Industry
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نویسنده
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Arabzad S. M. ,Ghorbani M. ,Ranjbar M. J.
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منبع
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International Journal Of Research In Industrial Engineering - 2017 - دوره : 6 - شماره : 2 - صفحه:90 -105
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چکیده
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This paper presents a mathematical model for a facility location-allocation problem in order to design an integrated supply chain. we consider a supply chain including multiple suppliers, multiple products, multiple plants, multiple transportation alternatives and multiple customer zones. the problem is to determine a number and capacity level of plants, allocation of customers demand, and selection and order allocation of suppliers. a multi-objective mixed-integer linear programming (momilp) is presented with two conflicting objectives simultaneously. the first objective is to minimize the total costs of a supply chain including raw material costs, transportation costs and establishment costs of plants. the second objective function aims to minimize the total deterioration rate occurred by transportation alternatives. finally, by applying the fuzzy goal programming, the model is solved as a single objective mixed-integer programming model. an experiment study shows that the proposed procedure can provide a promising result to design an efficient supply chain.
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کلیدواژه
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Supply Chain Management ,Facility Location-Allocation ,Fuzzy Goal Programming ,Steel Industry
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آدرس
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Islamic Azad University, Tehran Science And Research Branch, Department Of Engineering, Iran, Yazd University, Department Of Industrial Engineering, Iran, Islamic Azad University, Najafabad Branch, Department Of Industrial Engineering, Iran
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پست الکترونیکی
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mjr_darab@yahoo.com
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Authors
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