首页    期刊浏览 2024年12月06日 星期五
登录注册

文章基本信息

  • 标题:Using Knowledge Graphs and Human-Centric Artificial Intelligence for Reconfigurable Supply Chains: A Research Framework
  • 本地全文:下载
  • 作者:Benjamin Rolf ; Nasser Mebarki ; Sebastian Lang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:1693-1698
  • DOI:10.1016/j.ifacol.2022.09.641
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Reconfigurable supply chains received increasing interest from academia and industry in the past years, especially because recent events such as the COVID-19 pandemic revealed the vulnerability of present supply chains. Especially the rapid digitalization and the emergence of artificial intelligence in supply chain management create new opportunities for implementing reconfigurable supply chains. In this paper, we propose a concept that uses a knowledge graph and graph-based artificial intelligence to recommend reconfigurations of the supply chain. Due to the importance of these strategic decisions, the concept considers a human-centric approach using a recommender system. The knowledge graph exploits the inherent graph structure of supply chains to create a machine-readable and human-understandable database that also supports reasoning. Finally, we provide three research hypotheses and examine the integration of open-source knowledge graphs and news monitoring tools.
  • 关键词:Reconfigurable supply chains;Knowledge graphs;Supply chain management;Human-centric artificial intelligence;Graph neural networks;Open data
国家哲学社会科学文献中心版权所有