Green supply chain network design under uncertainty conditions with the mathematical model and solving it with a NSGA II algorithm
Journal Title: International Journal of Innovation in Management, Economics and Social Sciences - Year 2021, Vol 1, Issue 3
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.
Authors and Affiliations
Tobeh Yaser,Seyyed Kamal Sadeghi,Rahim Amiri,Habib Aghajani,
Keywords
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