首页    期刊浏览 2024年12月13日 星期五
登录注册

文章基本信息

  • 标题:Digital Twin and Human Factors in Manufacturing and Logistics Systems: State of the Art and Future Research Directions
  • 本地全文:下载
  • 作者:Berti Nicola ; Finco Serena
  • 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:1893-1898
  • DOI:10.1016/j.ifacol.2022.09.675
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Today, Digital Twin (DT) represents an emerging topic in Manufacturing and Logistics (M&L) systems due to its role as an enabler of digital transformation in the so-called Smart Factories. It has been widely integrated into maintenance, production planning, and control or layout planning decisions. Several frameworks and surveys have been proposed to provide guidelines, managerial insights, limitations, and future research perspectives on this emerging topic. However, just a few works focus the attention on DT and its role in quantifying, evaluating, and providing ergonomics, mental or physical workload, posture feedback, or warnings to workers, aiming to improve their safety conditions. For this reason, this study investigates the current state of the art in DT and its application as a tool to evaluate and integrate ergonomic aspects, or additional human factors, in M&L systems. Furthermore, future research directions are provided.
  • 关键词:Digital Twin;Human Factors;ergonomic risk assessment;feedback;manufacturing systems;logistics systems;literature review
国家哲学社会科学文献中心版权所有