Green supply chain network design under uncertainty conditions with the mathematical model and solving it with a NSGA II algorithm

Tobeh Yaser (), Seyyed Kamal Sadeghi, Rahim Amiri and Habib Aghajani

International Journal of Innovation in Management, Economics and Social Sciences, 2021, vol. 1, issue 3, 58-81

Abstract: 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.

Keywords: Green supply chain; Multi-objective optimization; Cost; Eco-indicator 99 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:bao:ijimes:v:1:y:2021:i:3:p:58-81:id:24

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