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Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Zhejiang Univ, Sch Mech Engn, State Key Lab Fluid Power & Mechatron Syst, Hangzhou, Peoples R China.;Zhejiang Univ, Sch Mech Engn, Key Lab Adv Mfg Technol Zhejiang Prov, Hangzhou, Peoples R China..
Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China..
Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Peoples R China..
Univ Michigan, Dept Mech Engn, Ann Arbor, MI USA..
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2022 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 63, p. 471-490Article in journal (Refereed) Published
Abstract [en]

Advances in human-centric smart manufacturing (HSM) reflect a trend towards the integration of human-in-the loop with technologies, to address challenges of human-machine relationships. In this context, the human-cyberphysical systems (HCPS), as an emerging human-centric system paradigm, can bring insights to the development and implementation of HSM. This study presents a systematic review of HCPS theories and technologies on HSM with a focus on the human-aspect is conducted. First, the concepts, key components, and taxonomy of HCPS are discussed. HCPS system framework and subsystems are analyzed. Enabling technologies (e.g., domain technologies, unit-level technologies, and system-level technologies) and core features (e.g., connectivity, integration, intelligence, adaptation, and socialization) of HCPS are presented. Applications of HCPS in smart manufacturing are illustrated with the human in the design, production, and service perspectives. This research offers key knowledge and a reference model for the human-centric design, evaluation, and implementation of HCPS-based HSM.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 63, p. 471-490
Keywords [en]
Human-cyber-physical systems, Human-centric smart, manufacturingCollaborative intelligence
National Category
Other Mechanical Engineering Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-315254DOI: 10.1016/j.jmsy.2022.05.005ISI: 000804543500003Scopus ID: 2-s2.0-85130399112OAI: oai:DiVA.org:kth-315254DiVA, id: diva2:1679180
Note

QC 20220630

Available from: 2022-06-30 Created: 2022-06-30 Last updated: 2022-07-07Bibliographically approved

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Wang, Lihui

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