dc.contributor.author | Morgan, Jeff | |
dc.contributor.author | Halton, Mark | |
dc.contributor.author | Qiao, Yuangsong | |
dc.date.accessioned | 2021-09-09T14:07:59Z | |
dc.date.available | 2021-09-09T14:07:59Z | |
dc.date.copyright | 2021 | |
dc.date.issued | 2021-04-07 | |
dc.identifier.citation | Morgan, J., Halton, M., Qiao, Y., Breslin, J.G. (2021). Industry 4.0 smart reconfigurable manufacturing machines. Journal of Manufacturing Systems. 59, 481-506. https://doi.org/10.1016/j.jmsy.2021.03.001 | en_US |
dc.identifier.issn | 0278-6125 | |
dc.identifier.uri | http://research.thea.ie/handle/20.500.12065/3667 | |
dc.description.abstract | This paper provides a fundamental research review of Reconfigurable Manufacturing Systems (RMS), which
uniquely explores the state-of-the-art in distributed and decentralized machine control and machine intelligence.
The aim of this review is to draw objective answers to two proposed research questions, relating to: (1)
reconfigurable design and industry adoption; and (2) enabling present and future state technology. Key areas
reviewed include: (a) RMS – fundamentals, design rational, economic benefits, needs and challenges; (b) Machine
Control – modern operational technology, vertical and horizontal system integration, advanced distributed
and decentralized control; (c) Machine Intelligence – distributed and decentralized paradigms, technology
landscape, smart machine modelling, simulation, and smart reconfigurable synergy. Uniquely, this paper establishes
a vision for next-generation Industry 4.0 manufacturing machines, which will exhibit extraordinary Smart and Reconfigurable (SR*) capabilities. | en_US |
dc.format | PDF | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Journal of Manufacturing Systems | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Smart manufacturing | en_US |
dc.subject | Reconfigurable manufacturing systems | en_US |
dc.subject | Cyber physical systems | en_US |
dc.subject | Industry 4.0 | en_US |
dc.title | Industry 4.0 smart reconfigurable manufacturing machines | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.contributor.affiliation | Athlone Institute of Technology | en_US |
dc.contributor.sponsor | Science Foundation Ireland | en_US |
dc.description.peerreview | yes | en_US |
dc.identifier.doi | 10.1016/j.jmsy.2021.03.001 | en_US |
dc.identifier.orcid | https://orcid.org/ 0000-0002-1543-1589 | en_US |
dc.identifier.volume | 59 | en_US |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | en_US |
dc.subject.department | Confirm SFI Research Centre for Smart Manufacturing, AIT | en_US |
dc.type.version | info:eu-repo/semantics/publishedVersion | en_US |
dc.relation.projectid | SFI 16/RC/3918 | en_US |