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Positioning Cyber-Physical Systems and Digital Twins in Industry 4.0

dc.contributor.authorPires, Flávia
dc.contributor.authorMelo, Victoria
dc.contributor.authorQueiroz, Jonas
dc.contributor.authorMoreira, António Paulo G. M.
dc.contributor.authorPrieta Pintado, Fernando De la
dc.contributor.authorEstevez, Elisabet
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2018-06-19T10:59:02Z
dc.date.available2018-06-19T10:59:02Z
dc.date.issued2024
dc.description.abstractIndustry 4.0 has brought innovative concepts and technologies that have greatly improved the development of more intelligent, flexible and reconfigurable systems. Two of these concepts, Cyber-Physical Systems (CPSs) and Digital Twins (DTs), have gained significant attention from various stakeholders, e.g., researchers, industry practitioners, and governmental organizations. Both are vital to support the digitalisation of products, machines, and systems, and they focus on the integration of physical and cyber processes, where one affects the other through feedback loops. Having this in mind, this paper aims to better understand how CPS and DT are correlated, particularly exploring their similarities and differences, their positioning within the Industry 4.0 paradigm, and their convergence to develop Industry 4.0 solutions. Some research challenges to develop Industry 4.0 solutions by integrating these concepts are also discussed.pt_PT
dc.description.sponsorshipThis work was partially supported by the HORIZONCL4-2021-TWIN-TRANSITION-01 openZDM project, under Grant Agreement No. 101058673. Authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). Authors Flavia Pires and Victória Melo thank the FCT Portugal for the PhD Grant SFRH/BD/143243/2019 and 2022.13868.BD, respectively.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPires, Flávia; Melo, Victória; Queiroz, Jonas; Moreira, António Paulo; Prieta Pintado, Fernando De la; Estévez, Elísabet; Leitao, Paulo (2024). Positioning Cyber-Physical Systems and Digital Twins in Industry 4.0. In 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE, p. 1-6. ISBN 979-8-3503-6301-2pt_PT
dc.identifier.doi10.1109/ICPS59941.2024.10640054
dc.identifier.isbn979-8-3503-6301-2
dc.identifier.urihttp://hdl.handle.net/10198/17727
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relationAn Intelligent Decision Support Approach for Industrial Digital Twin
dc.relationDevelopment of a modular, intelligent and distributed Digital Twin architecture towards zero defects manufacturing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCyber-Physical Systemspt_PT
dc.subjectDigital Twinpt_PT
dc.subjectRAMI 4.0pt_PT
dc.titlePositioning Cyber-Physical Systems and Digital Twins in Industry 4.0pt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardTitleAn Intelligent Decision Support Approach for Industrial Digital Twin
oaire.awardTitleDevelopment of a modular, intelligent and distributed Digital Twin architecture towards zero defects manufacturing
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F143243%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/2022.13868.BD/PT
oaire.citation.title2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
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person.familyNameMelo
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person.givenNameFlávia
person.givenNameVictória
person.givenNamePaulo
person.identifierhttps://scholar.google.pt/citations?user=an9quSsAAAAJ&hl=pt-PT
person.identifierhttps://scholar.google.com/citations?user=2JvgMH4AAAAJ&hl=pt-PT
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