A Digital Twin Reference for Mass Personalization in Industry 4.0

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dc.contributor.author Ahel Eroff S en
dc.contributor.author Zhong Ray en
dc.contributor.author Xu Xun en
dc.coverage.spatial Chicago, IL en
dc.date.accessioned 2020-10-14T21:52:46Z
dc.date.available 2020-10-14T21:52:46Z
dc.date.issued 2020 en
dc.identifier.citation College International pour la Recherche en Productique (CIRP), Chicago, IL, 01 Jul 2020 - 03 Jul 2020. 53rd CIRP Conference on Manufacturing Systems 2020. 93: 228-233. 2020
dc.identifier.uri http://hdl.handle.net/2292/53259
dc.description.abstract The 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. en
dc.relation.ispartof College International pour la Recherche en Productique (CIRP) en
dc.relation.ispartofseries 53rd CIRP Conference on Manufacturing Systems 2020 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.uri https://www.elsevier.com/journals/procedia-cirp/2212-8271/guide-for-authors
dc.title A Digital Twin Reference for Mass Personalization in Industry 4.0 en
dc.type Conference Item en
dc.identifier.doi 10.1016/j.procir.2020.04.023 en
pubs.begin-page 228 en
pubs.volume 93 en
dc.date.updated 2020-09-22T22:18:53Z en
dc.rights.holder Copyright: The author en
pubs.author-url https://www.sciencedirect.com/science/article/pii/S2212827120305722 en
pubs.end-page 233 en
pubs.finish-date 2020-7-3 en
pubs.start-date 2020-7-1 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Proceedings en
pubs.elements-id 816759 en


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