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dc.contributor.authorMorgan, Jeff
dc.contributor.authorHalton, Mark
dc.contributor.authorQiao, Yuangsong
dc.date.accessioned2021-09-09T14:07:59Z
dc.date.available2021-09-09T14:07:59Z
dc.date.copyright2021
dc.date.issued2021-04-07
dc.identifier.citationMorgan, 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.2021.03.001en_US
dc.identifier.issn0278-6125
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/3667
dc.description.abstractThis 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.formatPDFen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Manufacturing Systemsen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSmart manufacturingen_US
dc.subjectReconfigurable manufacturing systemsen_US
dc.subjectCyber physical systemsen_US
dc.subjectIndustry 4.0en_US
dc.titleIndustry 4.0 smart reconfigurable manufacturing machinesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.contributor.affiliationAthlone Institute of Technologyen_US
dc.contributor.sponsorScience Foundation Irelanden_US
dc.description.peerreviewyesen_US
dc.identifier.doi10.1016/j.jmsy.2021.03.001en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-1543-1589en_US
dc.identifier.volume59en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentConfirm SFI Research Centre for Smart Manufacturing, AITen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US
dc.relation.projectidSFI 16/RC/3918en_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International