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Human Digital Twin ...
Human Digital Twin in the context of Industry 5.0
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- Wang, Baicun (författare)
- State Key Lab of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China; bKey Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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- Zhou, Huiying (författare)
- State Key Lab of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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- Li, Xingyu (författare)
- School of Engineering Technology, Purdue University, West Lafayette, United States
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- Yang, Geng (författare)
- State Key Lab of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China; dZhejiang Key Laboratory of Intelligent Operation and Maintenance Robot, Hangzhou, China
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- Zheng, Pai (författare)
- Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong Special Administrative Regions, China, Hong Kong Special Administrative Regions
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- Song, Ci (författare)
- State Key Lab of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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- Yuan, Yixiu (författare)
- State Key Lab of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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- Wuest, Thorsten (författare)
- Department of Industrial and Management Systems Engineering, West Virginia University, Morgantown, WV 26506, United States
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- Yang, Huayong (författare)
- State Key Lab of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China
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- Wang, Lihui (författare)
- KTH,Produktionsutveckling
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(creator_code:org_t)
- Elsevier Ltd, 2024
- 2024
- Engelska.
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Ingår i: Robotics and Computer-Integrated Manufacturing. - : Elsevier Ltd. - 0736-5845 .- 1879-2537. ; 85
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Human-centricity, a core value of Industry 5.0, places humans in the center of production. It leads to the prioritization of human needs, spanning from health and safety to self-actualization and personal growth. The concept of the Human Digital Twin (HDT) is proposed as a critical method to realize human-centricity in smart manufacturing systems towards Industry 5.0. HDTs are digital representations of humans, aiming to change the practice of human-system integration by coupling humans’ characteristics directly to the system design and its performance. In-depth analysis, critical insights, and application guidelines of HDT are essential to realize the concept of Industry 5.0 in practice and evolve the smart manufacturing paradigm in modern factories. However, the investigation on the development of HDT to evolve humans’ roles and develop humans to their full potential is limited to date. Recent studies are rarely geared towards designing a standardized framework and architecture of HDT for diverse real-world applications. Thus, this work aims to close this research gap by carrying out a comprehensive survey on HDT in the context of Industry 5.0, summarizing the ongoing evolution, and proposing a proper connotation of HDT, before discussing the conceptual framework and system architecture of HDT and analyzing enabling technologies and industrial applications. This work provides guidance on possible avenues as well as challenges for the further development of HDT and its related concepts, allowing humans to reach their potential and accommodating their diverse needs in the futuristic smart manufacturing systems shaped by Industry 5.0.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Nyckelord
- Human Digital Twin
- Human-centricity
- Industry 5.0
- Smart manufacturing
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Wang, Baicun
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Zhou, Huiying
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Li, Xingyu
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Yang, Geng
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Zheng, Pai
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Song, Ci
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Yuan, Yixiu
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Wuest, Thorsten
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Yang, Huayong
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Wang, Lihui
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