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Conference Paper: A Digital Twin Reference for Mass Personalization in Industry 4.0

TitleA Digital Twin Reference for Mass Personalization in Industry 4.0
Authors
Aheleroff, AZhong, RXu, X
KeywordsIndustry 4.0
Mass Personalization
Digital Twin
Internet of Things
Augmented Reality
Issue Date2020
PublisherElsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/727717/description
Citation
53rd CIRP Conference on Manufacturing Systems, Virtual Conference. Chicago, IL, USA, 1-3 July 2020. In Procedia CIRP, 2020, v. 93, p. 228-233 How to Cite?
DOI: http://dx.doi.org/10.1016/j.procir.2020.04.023
AbstractThe Fourth Industrial Revolution (Industry 4.0) leads to an age of extraordinary changes through digital transformation. High customer demands and market competitions drive almost all business sectors to meet individuals’ requirements with a cost close to mass production. This paper aims to get the best out of Digital Twin capabilities for meeting mass personalization. A cross-sectional study was undertaken to explore the potential relationship between Industry 4.0, Information and communication technologies (ICT), and Digital Twin towards mass personalization. This study identifies cutting-edge technologies for building a Digital Twin reference model. The results reveal that Digital Twin fulfils mass personalization under Industry 4.0. The findings can contribute to a better understanding of new industrial applications for a wide range of Digital Twin integration levels.
Persistent Identifierhttp://hdl.handle.net/10722/287898
ISSN
2212-8271
2023 SCImago Journal Rankings: 0.563

 

DC FieldValueLanguage
dc.contributor.authorAheleroff, A-
dc.contributor.authorZhong, R-
dc.contributor.authorXu, X-
dc.date.accessioned2020-10-05T12:04:51Z-
dc.date.available2020-10-05T12:04:51Z-
dc.date.issued2020-
dc.identifier.citation53rd CIRP Conference on Manufacturing Systems, Virtual Conference. Chicago, IL, USA, 1-3 July 2020. In Procedia CIRP, 2020, v. 93, p. 228-233-
dc.identifier.issn2212-8271-
dc.identifier.urihttp://hdl.handle.net/10722/287898-
dc.description.abstractThe Fourth Industrial Revolution (Industry 4.0) leads to an age of extraordinary changes through digital transformation. High customer demands and market competitions drive almost all business sectors to meet individuals’ requirements with a cost close to mass production. This paper aims to get the best out of Digital Twin capabilities for meeting mass personalization. A cross-sectional study was undertaken to explore the potential relationship between Industry 4.0, Information and communication technologies (ICT), and Digital Twin towards mass personalization. This study identifies cutting-edge technologies for building a Digital Twin reference model. The results reveal that Digital Twin fulfils mass personalization under Industry 4.0. The findings can contribute to a better understanding of new industrial applications for a wide range of Digital Twin integration levels.-
dc.languageeng-
dc.publisherElsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/727717/description-
dc.relation.ispartofProcedia CIRP-
dc.relation.ispartof53rd CIRP Conference on Manufacturing Systems-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectIndustry 4.0-
dc.subjectMass Personalization-
dc.subjectDigital Twin-
dc.subjectInternet of Things-
dc.subjectAugmented Reality-
dc.titleA Digital Twin Reference for Mass Personalization in Industry 4.0-
dc.typeConference_Paper-
dc.identifier.emailZhong, R: zhongzry@hku.hk-
dc.identifier.authorityZhong, R=rp02116-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.procir.2020.04.023-
dc.identifier.scopuseid_2-s2.0-85092438322-
dc.identifier.hkuros314924-
dc.identifier.volume93-
dc.identifier.spage228-
dc.identifier.epage233-
dc.publisher.placeNetherlands-
dc.identifier.issnl2212-8271-

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