Green supply chain network design under uncertainty conditions with the mathematical model and solving it with a NSGA II algorithm
DOI:
https://doi.org/10.52547/ijimes.1.3.58DOR:
https://dorl.net/dor/20.1001.1.27832678.2021.1.3.5.9Keywords:
Green supply chain, Multi-objective optimization, Cost, Eco-indicator 99Abstract
Purpose: In this paper a mathematical model for the green supply chain network problem is designed. In this research, we seek to optimize two inconsistent and conflicting goals of the problem which are as follows: 1.Minimization of costs 2.Minimization of environmental impacts, using of the economic indicator 99 method.
Methodology: In this paper, two methods of Epsilon constraint and NSGA II algorithm are used to solve the two-objective model with the objective functions of minimizing network costs and minimizing emissions.
Findings: The results show that the introduced NSGA II algorithm has a high efficiency in forming efficient solutions in a short time.
Originality/Value: In this paper, a two-objective model for green supply chain network is modeled and solved with the aim of reducing network costs and reducing greenhouse gas emissions.
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Copyright (c) 2021 Tobeh Yaser, Seyyed Kamal Sadeghi, Rahim Amiri, Habib Aghajani
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