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

Author

Listed:
  • Tobeh Yaser
  • Seyyed Kamal Sadeghi
  • Rahim Amiri
  • Habib Aghajani

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.

Suggested Citation

  • Tobeh Yaser & Seyyed Kamal Sadeghi & Rahim Amiri & Habib Aghajani, 2021. "Green supply chain network design under uncertainty conditions with the mathematical model and solving it with a NSGA II algorithm," International Journal of Innovation in Management, Economics and Social Sciences, International Scientific Network (ISNet), vol. 1(3), pages 58-81.
    • Handle: RePEc:bao:ijimes:v:1:y:2021:i:3:p:58-81:id:24
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