Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0
Yao, Xifan and Ma, Nanfeng and Zhang, Jianming and Wang, Kesai and Yang, Erfu and Faccio, Maurizio (2022) Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0. Journal of Intelligent Manufacturing. ISSN 0956-5515 (https://doi.org/10.1007/s10845-022-02027-7)
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Abstract
Industry 4.0 focuses on the realization of smart manufacturing based on cyber-physical systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and covers the entire value chain of manufacturing, and faces economic, environmental, and social challenges. To meet such challenges, we regard Industry 5.0 as a socio-technical revolution based on the socio-cyber-physical system (SCPS), and propose a socio-technically enhanced wisdom manufacturing architecture and framework beyond CPS-based Industry 4.0/smart manufacturing with especially concerning transition enabling technologies such as artificial intelligence, social Internet of Things (SIoT), big data, machine learning, edge computing, social computing, 3D printing, blockchains, digital twins, and cobots. Finally we address the roadmap to blockchainized value-added SCPS-based Industrial Metaverse for Industry/Society 5.0, which will achieve high utilization of resources and provide products and services to satisfy experience-driven individual needs via metamanufacturing cloud services towards smart, resilient, sustainable, and human-centric solutions.
ORCID iDs
Yao, Xifan, Ma, Nanfeng, Zhang, Jianming, Wang, Kesai, Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950 and Faccio, Maurizio;-
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Item type: Article ID code: 83056 Dates: DateEvent1 November 2022Published1 November 2022Published Online14 September 2022AcceptedSubjects: Technology > Manufactures
Technology > Engineering (General). Civil engineering (General) > Engineering designDepartment: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 03 Nov 2022 11:14 Last modified: 17 Nov 2024 01:22 URI: https://strathprints.strath.ac.uk/id/eprint/83056