文章基本信息

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 等
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