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Title

A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

ماهنامه بین المللی مهندسی، دوره: 32، شماره: 6
Year: 1398
COI: JR_IJE-32-6_005
Language: EnglishView: 210
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Authors

N. Torabi - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
R. Tavakkoli-Moghaddam - School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | Arts et Métiers ParisTech, LCFC, Metz, France
E. Najafi - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
. Hosseinzadeh-Lotfi - Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract:

This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount of shortage in the network, reworking, and carbon-trading cost produced in the green supply chain. Secondly, because of the complexity of this model, it uses a new multi-objective interior search algorithm (MOISA) to solve the presented model. The obtained results of the proposed algorithm were compared with the results of other multi-objective meta-heuristics, namely MOPSO, SPEA2, and NSGA-II. The outcomes demonstrate that the proposed MOISA gives better Pareto solutions and indicates the superiority of the proposed algorithm in most cases. This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount of shortage in the network, reworking, and carbon-trading cost produced in the green supply chain. Secondly, because of the complexity of this model, it uses a new multi-objective interior search algorithm (MOISA) to solve the presented model. The obtained results of the proposed algorithm were compared with the results of other multi-objective meta-heuristics, namely MOPSO, SPEA2, and NSGA-II. The outcomes demonstrate that the proposed MOISA gives better Pareto solutions and indicates the superiority of the proposed algorithm in most cases.

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Paper COI Code

This Paper COI Code is JR_IJE-32-6_005. 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/962801/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Torabi, N. and Tavakkoli-Moghaddam, R. and Najafi, E. and Hosseinzadeh-Lotfi, .,1398,A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm,https://civilica.com/doc/962801

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 37,281
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