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Real-time rule-based monitoring tool to achieve zero defect manufacturing

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
dc.contributor.authorCosta, Jullo
dc.contributor.authorOliveira Júnior, Alexandre de
dc.contributor.authorBarbosa, José
dc.contributor.authorAlves, Gleifer
dc.contributor.authorBorges, Andre
dc.contributor.authorGarcia, Gisela
dc.contributor.authorPires, Rui
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2026-04-10T13:33:18Z
dc.date.available2026-04-10T13:33:18Z
dc.date.issued2025
dc.description.abstractThe demands of innovative production systems are shifting from mass production to the creation of smaller quantities with a focus on high quality. To achieve these evolving demands, Zero Defect Manufacturing has emerged as a key paradigm. This approach requires an innovative architectural monitoring tool where real-time data is continuously gathered and analysed to predict defects and assess their potential impacts. It also necessitates the seamless integration of diverse data sources, advanced processing algorithms, and Digital Twins to align with industrial requirements. In this paper we present a real-time, rule-based monitoring tool applied to a real-world car manufacturing use case. The tool successfully generated early alerts for quality deviations, enabling production engineers to shift from a reactive to a proactive approach by detecting potential quality issues early in the process.eng
dc.description.sponsorshipThis work was partially supported by the HORIZON-CL4-2021-TWIN-TRANSITION-01 openZDM project, under Grant Agreement No. 101058673. Also, it was sup-ported by national funds through FCT/MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (DOI: 10.54499/UIDB/05757/2020) and UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020); and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020).
dc.identifier.citationCosta, Jullo; Oliveira Júnior; Barbosa, José; Alves, Gleifer; Borges, André; Garcia, Gisela; Pires, Rui; Leitão, Paulo (2025). Real-time rule-based monitoring tool to achieve zero defect manufacturing. In International Workshop on Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. Augsburg, Germany. ISBN 978-3-031-85316-6. DOI: 10.1007/978-3-031-85316-6_20
dc.identifier.doi10.1007/978-3-031-85316-6_20
dc.identifier.isbn978-3-031-85316-6
dc.identifier.urihttp://hdl.handle.net/10198/36499
dc.language.isoeng
dc.peerreviewedyes
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDigital Twin
dc.subjectRule-based system
dc.subjectMonitoring
dc.subjectZDM
dc.titleReal-time rule-based monitoring tool to achieve zero defect manufacturingpor
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.conferenceDate2024
oaire.citation.conferencePlaceAugsburg, Germany
oaire.citation.titleInternational Workshop on Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameOliveira Júnior
person.familyNameBarbosa
person.familyNameLeitão
person.givenNameAlexandre de
person.givenNameJosé
person.givenNamePaulo
person.identifierhttps://scholar.google.com/citations?user=WurUUUUAAAAJ&hl=pt-PT&oi=ao
person.identifier609187
person.identifierA-8390-2011
person.identifier.ciencia-id7311-463F-3FA3
person.identifier.ciencia-id021B-4191-D8A5
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-7009-3965
person.identifier.orcid0000-0003-3151-6686
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridA-5468-2011
person.identifier.scopus-author-id57426745400
person.identifier.scopus-author-id48360905400
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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