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  • 标题:Fuzzy Cognitive Maps analysis of Green Supply Chain Management: a case study approach
  • 本地全文:下载
  • 作者:M. Bevilacqua ; F.E. Ciarapica ; G. Marcucci
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:17481-17486
  • DOI:10.1016/j.ifacol.2020.12.2124
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe Green Supply Chain has proposed to innovate industrial production by implementing a radical perspective change: reconcile economy and ecology. This study aims to contribute to the realisation of a new idea of eco-sustainable industrialisation. Anyone making decisions within any dynamic system faces serious difficulties. For this reason, the proposed study analyses this system using Fuzzy Cognitive Maps arriving at the formation of a real map of the causal relationships between the concepts identified, then divided by areas of membership. In doing so, the most relevant factors affecting the Green Supply Chain decision-making process have been identified and analysed.
  • 关键词:KeywordsSustainabilityModelling SocialEnvironmental ChangeHuman-centered systems engineering
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