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Title

Solving a Multi-Item Supply Chain Network Problem by Three Meta-heuristic Algorithms

Year: 1400
COI: JR_JOIE-14-2_010
Language: EnglishView: 206
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Authors

Amir Fatehi Kivi - Young researchers and elite clud, Khalkhal branch Islamic azad university, khalkhal, iran,
Esmaeil Mehdizadeh - Islamic Azad University, Qazvin Branch
Reza Tavakkoli-Moghaddam - North Karegar Street School of Industrial Engineering, College of Engineering, University of Tehran
Seyed Esmaeil Najafi - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract:

The supply chain network design not only assists organizations production process (e.g.,plan, control and execute a product’s flow) but also ensure what is the growing need for companies in a longterm. This paper develops a three-echelon supply chain network problem including multiple plants, multiple distributors, and multiple retailers with amulti-mode demand satisfaction policy inside of production planning and maintenance. The problem is formulated as a mixed-integer linear programming model. Because of its NP-hardness, three meta-heuristic algorithms(i.e., tabu search, harmony search and genetic algorithm) are used to solve the given problem. Also, theTaguchi method is used to choose the best levels of the parameters of the proposedmeta-heuristic algorithms. The results show that HS has abetter solution quality than two other algorithms.

Keywords:

Paper COI Code

This Paper COI Code is JR_JOIE-14-2_010. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1170504/

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Fatehi Kivi, Amir and Mehdizadeh, Esmaeil and Tavakkoli-Moghaddam, Reza and Najafi, Seyed Esmaeil,1400,Solving a Multi-Item Supply Chain Network Problem by Three Meta-heuristic Algorithms,https://civilica.com/doc/1170504

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 669
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