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  • 标题:Green supply chain network design under uncertainty conditions with the mathematical model and solving it with a NSGA II algorithm
  • 本地全文:下载
  • 作者:Tobeh Yaser ; Seyyed Kamal Sadeghi ; Rahim Amiri
  • 期刊名称:International Journal of Innovation in Management, Economics and Social Sciences
  • 电子版ISSN:2783-2678
  • 出版年度:2021
  • 卷号:1
  • 期号:3
  • DOI:10.52547/ijimes.1.3.58
  • 语种:English
  • 出版社:ISNet
  • 摘要: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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