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  • 标题:Green supply chain based on artificial intelligence of things (AIoT)
  • 本地全文:下载
  • 作者:Javid Ghahremani Nahr ; Hamed Nozari ; Mohammad Ebrahim Sadeghi
  • 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:2
  • DOI:10.52547/ijimes.1.2.56
  • 语种:English
  • 出版社:ISNet
  • 摘要:Purpose: The most important driving force for the IoT is artificial intelligence. The dramatic growth of the Internet of Things in various fields necessitates the use of artificial intelligence capabilities in the optimal use of data. By combining these technologies, it reduces cost, automation and productivity more dynamically. This hybrid technology is called artificial intelligence of things (AIoT). Methodology: Intelligent solutions in the supply chain, i.e. the use of the Internet of Things with the capability of artificial intelligence, has been able to make various industries great. Findings: Due to the colorful role of IoT technology in the sustainability of industrial systems, this paper provides a framework for the implementation of an AIoT-based green supply chain. This framework shows a clear path to understanding the impact of this hybrid supply chain technology. Originality/Value: In his paper, a framework for the implementation of an AIoT-based green supply chain is provided.
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