Journal Article10.1016/j.jmsy.2022.09.017
Industry 5.0: Prospect and retrospect
Jiewu Leng,Wei Chao Sha,Baicun Wang,Pai Zheng,Cun Bo Zhuang,Qiang Liu,Thorsten Wuest,Dimitris Mourtzis,Lihui Wang +8 more
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TL;DR: Wang et al. as discussed by the authors reviewed the evolutionary vein of Industry 5.0 and three leading characteristics of Industry5.0: human-centricity, sustainability, and resiliency, and constructed a tri-dimensional system architecture for implementing Industry 5, namely, the technical dimension, reality dimension, and application dimension.
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About: This article is published in Journal of Manufacturing Systems. The article was published on 01 Oct 2022. The article focuses on the topics: Prosperity & Connotation.
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Citations
Human Digital Twin in the context of Industry 5.0
Baicun Wang,Huiying Zhou,Xingyu Li,Geng Yang,Pai Zheng,Ci Song,Yixiu Yuan,Thorsten Wuest,Huayong Yang,Lihui Wang +9 more
TL;DR: This study proposes the Human Digital Twin (HDT) concept to realize human-centricity in Industry 5.0, aiming to integrate humans' characteristics into smart manufacturing systems, and provides a comprehensive survey, framework, and architecture for HDT development in diverse real-world applications.
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Is Industry 5.0 a Human-Centred Approach? A Systematic Review
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Proactive human-robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
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Design of a Smart Factory Based on Cyber-Physical Systems and Internet of Things towards Industry 4.0
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References
Manufacturing big data ecosystem: A systematic literature review
TL;DR: Five future directions of big data applications in manufacturing are presented from modelling and simulation to real-time big data analytics and cybersecurity, and several research domains are identified that are driven by available capabilities ofbig data ecosystem.
Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems
Peter Bednar,Christine Welch +1 more
TL;DR: It is suggested that contemporary socio-technical systems approaches to organizational analysis are the best way to support harnessing of smart technologies in organizations.
Innovation in the Era of IoT and Industry 5.0: Absolute Innovation Management (AIM) Framework
TL;DR: The present study has proposed a new innovation management framework labeled as “Absolute Innovation Management (AIM” to make innovation more understandable, implementable, and part of the organization’s everyday routine by synergizing the innovation ecosystem, design thinking, and corporate strategy to achieve competitive advantage and economic growth.
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Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system
Qiang Liu,Jiewu Leng,Jiewu Leng,Douxi Yan,Zhang Ding,Lijun Wei,Yu Ailin,Rongli Zhao,Hao Zhang,Xin Chen +9 more
TL;DR: Two key enabling technologies for enabling the customized and software-defined design of flow-type smart manufacturing systems are presented, including the generalized encapsulation of the quad-play CMCO model and the digital twin technique.
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Blockchain-Secured Smart Manufacturing in Industry 4.0: A Survey
TL;DR: In this article, the authors discuss how blockchain systems can overcome potential cybersecurity barriers to achieving intelligence in Industry 4.0 and present future research directions for blockchain-secured smart manufacturing.
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