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International Journal of Engineering، جلد ۳۲، شماره ۱۰، صفحات ۱۴۴۶-۱۴۵۳
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عنوان انگلیسی A New Mathematical Model for a Multi-product Supply Chain Network with a Preventive Maintenance Policy
چکیده انگلیسی مقاله The supply chain network design (SCND) implicates decision-making at a strategic level and makes it possible to create an effective and helpful context for managing. The aim of the network is to minimize the total cost so that customer's demands should be met. Preventive maintenance is pre-determined work performed to a schedule with the aim of preventing the wear and tear or sudden failure of equipment components. Unfortunately, there is very little work on the issues of preventive maintenance in the SCND. At first, a mixed integer nonlinear programming model (MINLP) is formulated that maximaize the profit of the network. Since the SCND is an NP-hard problem, we use three meta-heuristic algorithms, namely tabu search, harmony search and genetic algorithm to solve the given problem. Taguchi method is also used to adjust the significant parameters of the forgoing meta-heuristics and select the optimal levels of the influential factors for the better algorithm performance. The results of different numerical experiments endorse the effectiveness of the HS algorithm.
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نویسندگان مقاله Amir Fatehi-Kivi |
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Esmaeil Mehdizadeh |
Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Reza Tavakkoli-Moghaddam |
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

نشانی اینترنتی http://www.ije.ir/article_95719_1af75a60e356c860087a728b0fcd04d2.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2061512.pdf
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زبان مقاله منتشر شده en
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