A Conceptual Framework of DHM Enablers for Ergonomics 4.0

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Part of theLecture Notes in Networks and Systemsbook series (LNNS, volume 223)


4.0产业有助于人类的生态系统factors and ergonomics (HFE) related new concepts, such as Mining 4.0, Safety 4.0, Operator 4.0 and Ergonomics 4.0 which we studied here. Industry 4.0 refers to system elements such as Cyber-Physical Systems (CPS) and Augmented Reality/Virtual Reality (AR/VR), connections through the Internet of Things (IoT) and storage on Cloud Platforms (CP) to facilitate Cognitive Computing (CC) analysis and knowledge extraction. While the Industry 4.0 concept is centred around data, it also provides a platform to integrate the human operator with other elements of a system. Industry 4.0 and Ergonomics thus appear integrated and suggest the development of an Ergonomics 4.0 concept. This study searched and reviewed publications focusing on the enablers of Ergonomics 4.0. We identified their main elements and relationships with a focus on Digital Human Modelling (DHM). We systemized, clustered and synthesized the reviewed information and generated a taxonomy of Ergonomics 4.0 under the lens of digital human modelling using semantic analysis. We conclude that Ergonomics 4.0 is an essential part of Industry 4.0 and that DHM is a key enabler for Ergonomics 4.0.


Ergonomics 4.0 Industry 4.0 Virtualization Digital Twin Digital Human Modeling (DHM)


  1. Ahmed, S., Irshad, L., Demirel, O., Tumer, I.: Comparison of Virtual Reality and Digital Human Modeling for Proactive Ergonomics Design and Performance Assessment during an Emergency Situation. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, 1–19 (2019)Google Scholar
  2. Caputo, F., Greco, A., Fera, M., Macchiaroli, R.: Digital twins to enhance the integration of ergonomics in the workplace design. Int. J. Ind. Ergon71, 20–31 (2019)CrossRefGoogle Scholar
  3. Gualtieri, L., Palomba, I., Merati, F., Rauch, E., Vidoni, R.: Design of human-centered collaborative assembly workstations for the improvement of operators’ physical ergonomics and production efficiency: a case study. Sustainability12(3606), 89 - 111 (2020)Google Scholar
  4. Hietanen, A.R., Pieters, R., Lanz, M., Latokartano, J., Kamarainen, J.-K.: AR-based interaction for human-robot collaborative manufacturing. Robot. Comput. Integr. Manuf.63, 1–9 (2020)CrossRefGoogle Scholar
  5. Lim, K.Y.H., Zheng, P., Chen, C.: A state-of-art survey of digital twin: techniques, engineering product lifecycle management and business innovation perspectives. J. Intell. Manuf.31, 1313–1337 (2020)CrossRefGoogle Scholar
  6. Rauch, E., Linder, C., Dallasega, P.: Anthropocentric perspective of production before and within Industry 4.0. Comput. Ind. Eng.139, 1–15 (2019)Google Scholar
  7. Stern, H., Becker, T.: Concept and evaluation of a method for the integration of human factors into human-oriented work design in cyber-physical production systems. Sustainability11(4508), 233–265 (2020)Google Scholar
  8. Sun, Sh., Zheng, X., Gong, B., Garcia-Paredes, J., Ordieres-Mere, J.: Healthy operator 4.0: a human cyber-physical system architecture for smart workplaces. Sensors,201–21 (2020)Google Scholar
  9. Zidek, K., Pitel, J., Adamek, M., Lazorik, P., Hosovsky, A.: Digital twin of experimental smart manufacturing assembly system for industry 4.0 concept. Sustainability12, 3658, 39–54 (2020)Google Scholar

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Authors and Affiliations

  1. 1.Australian Institute of Tropical Health and Medicine (AITHM)MackayAustralia
  2. 2.James Cook UniversityTownsvilleAustralia

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