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Improvement of multistage quality control through the integration of decision modeling and cyber-physical production systems

dc.contributor.authorRocha, André Dionísio
dc.contributor.authorPeres, Ricardo Silva
dc.contributor.authorBarata, José
dc.contributor.authorBarbosa, José
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2020-03-31T09:16:53Z
dc.date.available2020-03-31T09:16:53Z
dc.date.issued2018
dc.description.abstractThe proliferation of Information and Communication Technologies allowed the development of new solutions to be applied at the shop-floor and all the tools which helps the manufacturers. Hence, new solutions such as cyberphysical production systems, data analytics and knowledge management were developed and proposed to solve the wellknown issues, such as quality control in multistage manufacturing systems. However, those solutions can only have a small contribution in solving that issues compared to an optimized and fully integrated approach. To allow the development of a fully integrated environment, it is necessary to deliver a standard way to communicate and interact with the different functionalities. The proposed research aims to provide an integration layer, capable of translating the rules defined at the knowledge management level, structured as Decision Model and Notation rules, into an AutomationML based language. This allows the cyber-physical production system the ability to apply these rules near the shop-floor. This article presents the template defined to represent the rules in AutomationML as well as the infrastructure developed to receive the rules from the knowledge management, translate them and deliver to the cyber-physical production system. At the end of the article is presented a test bed where the solution is instantiated with rules focused on quality control.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRocha, Andre Dionisio; Peres, Ricardo; Barata, Jose; Barbosa, José; Leitao, Paulo (2018). Improvement of multistage quality control through the integration of decision modeling and cyber-physical production system. In International Conference on Intelligent Systems (IS’18). Funchal - Madeira; Portugalpt_PT
dc.identifier.doi10.1109/IS.2018.8710492pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/21244
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationEU H2020 GO0D MANpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMulti-agent systemspt_PT
dc.subjectQuality controlpt_PT
dc.subjectData analysispt_PT
dc.subjectCyber-physical systempt_PT
dc.subjectZero defect manufacturingpt_PT
dc.titleImprovement of multistage quality control through the integration of decision modeling and cyber-physical production systemspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceFunchal - Madeira; Portugalpt_PT
oaire.citation.endPage484pt_PT
oaire.citation.startPage479pt_PT
oaire.citation.titleInternational Conference on Intelligent Systems (IS’18)pt_PT
person.familyNameBarbosa
person.familyNameLeitão
person.givenNameJosé
person.givenNamePaulo
person.identifier609187
person.identifierA-8390-2011
person.identifier.ciencia-id021B-4191-D8A5
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0003-3151-6686
person.identifier.orcid0000-0002-2151-7944
person.identifier.ridA-5468-2011
person.identifier.scopus-author-id48360905400
person.identifier.scopus-author-id35584388900
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication0c76a063-ff3c-4db3-b6e7-36885020b399
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery0c76a063-ff3c-4db3-b6e7-36885020b399

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