Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/28758
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Campo DCValorIdioma
dc.contributor.authorMoura, P. E. de.-
dc.contributor.authorAmaral, V.-
dc.contributor.authorBrito e Abreu, F.-
dc.contributor.editorAnwar, S., Ullah, A., Rocha, Á., and Sousa, M. J.-
dc.date.accessioned2023-05-31T14:04:42Z-
dc.date.issued2023-
dc.identifier.citationMoura, P. E. de., Amaral, V., & Brito e Abreu, F. (2023). Assessing the impact of process awareness in industry 4.0. In S. Anwar, A. Ullah, Á. Rocha, & M. J. Sousa (Eds.), Proceedings of International Conference on Information Technology and Applications ICITA 2022. Lecture Notes in Networks and Systems (vol. 614, pp. 311-321). Springer. https://doi.org/10.1007/978-981-19-9331-2_26-
dc.identifier.isbn978-981-19-9331-2-
dc.identifier.issn2367-3370-
dc.identifier.urihttp://hdl.handle.net/10071/28758-
dc.description.abstractThe historical (and market) value of classic cars’ depends on their authenticity, which can be ruined by careless restoration processes. This paper reports on our ongoing research on monitoring the progress of such processes. We developed a process monitoring platform that combines data gathered from IoT sensors with input provided by a plant shop manager, using a process-aware GUI. The underlying process complies with the best practices expressed in FIVA’s Charter of Turin. Evidence (e.g., photos, documents, and short movies) can be attached to each task during process instantiation. Furthermore, car owners can remotely control cameras and car rotisserie to monitor critical steps of the restoration process. The benefits are manifold for all involved stakeholders. Restoration workshops increase their transparency and credibility while getting a better grasp on work assignments. Car owners can better assure the authenticity of their cars to third parties (potential buyers and certification bodies) while reducing their financial and scheduling overhead and carbon footprint.eng
dc.language.isoeng-
dc.publisherSpringer-
dc.relation01/SAICT/2016 nº 022153-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT-
dc.relation.ispartofProceedings of International Conference on Information Technology and Applications ICITA 2022. Lecture Notes in Networks and Systems-
dc.rightsopenAccess-
dc.subjectClassic car documentationeng
dc.subjectAuto repair shop softwareeng
dc.subjectBusiness processeng
dc.subjectBPMNeng
dc.subjectDMNeng
dc.subjectInternet of thingseng
dc.subjectIndustry 4.0eng
dc.subjectProcess monitoringeng
dc.subjectGUIeng
dc.subjectProcess awarenesseng
dc.subjectProcess miningeng
dc.titleAssessing the impact of process awareness in industry 4.0eng
dc.typeconferenceObject-
dc.event.title16th International Conference on Information Technology and Applications (ICITA 2022)-
dc.event.typeConferênciapt
dc.event.locationLisboaeng
dc.event.date2022-
dc.pagination311 - 321-
dc.peerreviewedyes-
dc.volume614-
dc.date.updated2023-05-31T11:51:49Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1007/978-981-19-9331-2_26-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.date.embargo2024-05-17-
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-96039-
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