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International Journal of Industrial Engineering and Productional Research-، جلد ۲۳، شماره ۲، صفحات ۱۱۳-۱۲۳
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| عنوان انگلیسی |
A Complex Design of the Integrated Forward-Reverse Logistics Network under Uncertainty |
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| چکیده انگلیسی مقاله |
Design of a logistics network in proper way provides a proper platform for efficient and effective supply chain management. This paper studies a multi-period, multi echelon and multi-product integrated forward-reverse logistics network under uncertainty. First, an efficient complex mixed-integer linear programming (MILP) model by considering some real-world assumptions is developed for the integrated logistics network design to avoid the sub-optimality caused by the separate design of the forward and reverse networks. Then, the stochastic counterpart of the proposed MILP model is used to measure the conditional value at risk (CVaR) criterion, as a risk measure, that can control the risk level of the proposed model. The computational results show the power of the proposed stochastic model with CVaR criteria in handling data uncertainty and controlling risk levels. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
رضا بابازاده |
m.s. student in department of industrial engineering, college of engineering, university of tehran, tehran, iran.
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)
رضا توکلی مقدم | tavakkoli moghaddam
professor in department of industrial engineering, college of engineering, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)
جعفر رزمی |
associate professor in department of industrial engineering, college of engineering, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)
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| نشانی اینترنتی |
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-176-7&slc_lang=en&sid=en |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
پژوهشی |
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