File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.aei.2021.101438
- Scopus: eid_2-s2.0-85117715271
- WOS: WOS:000711640000001
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study
Title | Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study |
---|---|
Authors | |
Keywords | Industry 4.0 Internet of Things Cloud Manufacturing Additive Manufacturing Personalisation |
Issue Date | 2021 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/aei |
Citation | Advanced Engineering Informatics, 2021, v. 50, p. article no. 101438 How to Cite? |
Abstract | The Fourth Industrial Revolution (Industry 4.0) leads to mass personalisation as an emerging manufacturing paradigm. Mass personalisation focuses on uniquely made products to individuals at scale. Global challenges encourage mass personalisation manufacturing with efficiency competitive to mass production. Driven by individualisation as a trend and enabled by increasing digitalisation, mass personalisation can go beyond today’s mass customisation. This paper aims to introduce Mass Personalisation as a Service (MPaaS) to address unique and complex requirements at scale by harnessing Industry 4.0 technologies, including Internet of Things, Additive Manufacturing, Big Data, Cloud Manufacturing, Digital Twin, and Blockchain. A case study for the implementation of MPaaS in personalised face masks is presented. The workforce with constant exposure to contaminants requires personal protective equipment (PPE), such as facemasks, for longer hours resulting in pressure-related ulcers. This prolonged use of PPE highlights the importance of personalisation to avoid ulcers and other related health concerns. Most studies have used Additive Manufacturing for individualisation and cloud capabilities for large-scale manufacturing. This study develops a framework and mathematical model to demonstrate the capability of the proposed solution to address one of the most critical challenges by making personalised face masks as an essential PPE in the critical industrial environment. |
Persistent Identifier | http://hdl.handle.net/10722/308202 |
ISSN | 2023 Impact Factor: 8.0 2023 SCImago Journal Rankings: 1.731 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Aheleroff, S | - |
dc.contributor.author | Mostashiri, N | - |
dc.contributor.author | Xu, X | - |
dc.contributor.author | Zhong, RY | - |
dc.date.accessioned | 2021-11-12T13:43:55Z | - |
dc.date.available | 2021-11-12T13:43:55Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Advanced Engineering Informatics, 2021, v. 50, p. article no. 101438 | - |
dc.identifier.issn | 1474-0346 | - |
dc.identifier.uri | http://hdl.handle.net/10722/308202 | - |
dc.description.abstract | The Fourth Industrial Revolution (Industry 4.0) leads to mass personalisation as an emerging manufacturing paradigm. Mass personalisation focuses on uniquely made products to individuals at scale. Global challenges encourage mass personalisation manufacturing with efficiency competitive to mass production. Driven by individualisation as a trend and enabled by increasing digitalisation, mass personalisation can go beyond today’s mass customisation. This paper aims to introduce Mass Personalisation as a Service (MPaaS) to address unique and complex requirements at scale by harnessing Industry 4.0 technologies, including Internet of Things, Additive Manufacturing, Big Data, Cloud Manufacturing, Digital Twin, and Blockchain. A case study for the implementation of MPaaS in personalised face masks is presented. The workforce with constant exposure to contaminants requires personal protective equipment (PPE), such as facemasks, for longer hours resulting in pressure-related ulcers. This prolonged use of PPE highlights the importance of personalisation to avoid ulcers and other related health concerns. Most studies have used Additive Manufacturing for individualisation and cloud capabilities for large-scale manufacturing. This study develops a framework and mathematical model to demonstrate the capability of the proposed solution to address one of the most critical challenges by making personalised face masks as an essential PPE in the critical industrial environment. | - |
dc.language | eng | - |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/aei | - |
dc.relation.ispartof | Advanced Engineering Informatics | - |
dc.subject | Industry 4.0 | - |
dc.subject | Internet of Things | - |
dc.subject | Cloud Manufacturing | - |
dc.subject | Additive Manufacturing | - |
dc.subject | Personalisation | - |
dc.title | Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study | - |
dc.type | Article | - |
dc.identifier.email | Zhong, RY: zhongzry@hku.hk | - |
dc.identifier.authority | Zhong, RY=rp02116 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.aei.2021.101438 | - |
dc.identifier.scopus | eid_2-s2.0-85117715271 | - |
dc.identifier.hkuros | 329676 | - |
dc.identifier.volume | 50 | - |
dc.identifier.spage | article no. 101438 | - |
dc.identifier.epage | article no. 101438 | - |
dc.identifier.isi | WOS:000711640000001 | - |
dc.publisher.place | United Kingdom | - |