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  • 标题:Role of Artificial Intelligence in Circular Manufacturing: A Systematic Literature Review
  • 本地全文:下载
  • 作者:Federica Acerbi ; Dai Andrew Forterre ; Marco Taisch
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:1
  • 页码:367-372
  • DOI:10.1016/j.ifacol.2021.08.040
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractCircular Economy (CE) empowers firms (micro-level), network of firms (meso-level), cities, regions and nations (macro-level) sustainability. CE potentialities in making regenerate resources are even greater if supported by technologies, and Artificial Intelligence (AI) is gaining momentum in this regard. The extant literature presents a limited investigation of the exploitable synergies among CE and AI at the different scales of CE adoption in manufacturing, also named Circular Manufacturing (CM). Indeed, this paper entails a systematic literature review to investigate the state-of-the-art in this domain proposing future research opportunities. Among the findings, AI exploitation is advanced at micro-level, whilst the meso-level, macro-level, and the synergies among the three levels require further exploration.
  • 关键词:KeywordsCircular EconomyCircular ManufacturingArtificial IntelligenceManufacturingSustainabilityLiterature Review
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