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 |
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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 |