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Conference Paper: A Digital Twin Reference for Mass Personalization in Industry 4.0
Title | A Digital Twin Reference for Mass Personalization in Industry 4.0 |
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Authors | |
Keywords | Industry 4.0 Mass Personalization Digital Twin Internet of Things Augmented Reality |
Issue Date | 2020 |
Publisher | Elsevier: 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? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/287898 |
ISSN | 2023 SCImago Journal Rankings: 0.563 |
DC Field | Value | Language |
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dc.contributor.author | Aheleroff, A | - |
dc.contributor.author | Zhong, R | - |
dc.contributor.author | Xu, X | - |
dc.date.accessioned | 2020-10-05T12:04:51Z | - |
dc.date.available | 2020-10-05T12:04:51Z | - |
dc.date.issued | 2020 | - |
dc.identifier.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 | - |
dc.identifier.issn | 2212-8271 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287898 | - |
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. | - |
dc.language | eng | - |
dc.publisher | Elsevier: 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.ispartof | Procedia CIRP | - |
dc.relation.ispartof | 53rd CIRP Conference on Manufacturing Systems | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Industry 4.0 | - |
dc.subject | Mass Personalization | - |
dc.subject | Digital Twin | - |
dc.subject | Internet of Things | - |
dc.subject | Augmented Reality | - |
dc.title | A Digital Twin Reference for Mass Personalization in Industry 4.0 | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Zhong, R: zhongzry@hku.hk | - |
dc.identifier.authority | Zhong, R=rp02116 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1016/j.procir.2020.04.023 | - |
dc.identifier.scopus | eid_2-s2.0-85092438322 | - |
dc.identifier.hkuros | 314924 | - |
dc.identifier.volume | 93 | - |
dc.identifier.spage | 228 | - |
dc.identifier.epage | 233 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 2212-8271 | - |