• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2020, Vol. 56 ›› Issue (16): 240-253.doi: 10.3901/JME.2020.16.240

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State-of-art of Human Factors/Ergonomics in Intelligent Manufacturing

WANG Baicun1,2, HUANG Sihan1,3, YI Bing4, BAO Jinsong5   

  1. 1. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA;
    2. Center for Strategic Studies, Chinese Academy of Engineering, Beijing 100088;
    3. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081;
    4. School of Traffic and Transportation Engineering, Central South University, Changsha 410075;
    5. School of Mechanical Engineering, Donghua University, Shanghai 201600
  • Received:2020-03-20 Revised:2020-07-06 Online:2020-08-20 Published:2020-10-19

Abstract: Human factors/ergonomic (HF/E) for intelligent manufacturing is the application of HF/E in the field of intelligent manufacturing (IM), which is based on the human-centered concept in the context of human-cyber-physical systems (HCPS). The research goal of HF/E for IM is to ensure safe and efficient operation of IM systems, through systematic research on relationships between humans, cyber systems and physical systems. First, the research contents of HF/E for IM are listed. Then, the state-of-art in humans' role, HF/E, and human-machine relationship in the context of IM are reviewed. Research hotpots include human safety, integration of virtual and physical entity, horizontal organization, production and use integration, human-machine collaboration, and human-CPS relationship, etc. Based on China's current challenges in intelligent manufacturing HF/E, several suggestions are proposed from the aspects of discipline construction, scientific research, and social attention. These suggestions include strengthening top-level strategic design, improving discipline construction, advocating system design concept, promoting integration of quantitative and qualitative research, and innovative applications of emerging technologies.

Key words: intelligent manufacturing, ergonomics, human factors, human-machine relationship, human-cyber-physical systems

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