Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61901
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dc.contributor.authorShafiq, Syed Imranen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
local.source.editorEditor(s): Affenzeller, Bruzzone, Longo and Pereiraen
dc.date.accessioned2024-08-02T05:57:31Z-
dc.date.available2024-08-02T05:57:31Z-
dc.date.issued2019-09-
dc.identifier.citationProceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), p. 9-15en
dc.identifier.isbn9788885741256en
dc.identifier.issn2724-0029en
dc.identifier.urihttps://hdl.handle.net/1959.11/61901-
dc.description.abstract<p>This paper proposes knowledge-based modelling framework to manage the storage, analysis, and processing of data, information, and knowledge of a typical Flexible Manufacturing System (FMS). The framework utilizes the concept of virtual engineering object (VEO) and virtual engineering process (VEP) for developing knowledge models of FMS to achieve effective scheduling and manufacturing flexibility. The proposed generic model is capable of capturing in real time the manufacturing data, information and knowledge at every stage of production i.e. at the object level, the process level, and at the factory level. The significance of this study is that it supports decision making by reusing past decisional experience, which will not only help in effective real time data monitoring and processing but also make FMS system more intelligent and ready to function in the virtual Industry 4.0 environment.</p>en
dc.languageenen
dc.publisherDIME University of Genoa, DIMEG University of Calabriaen
dc.relation.ispartofProceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019)en
dc.titleKnowledge based modelling framework for flexible manufacturing systemen
dc.typeConference Publicationen
dc.relation.conferenceEMSS 2019: 31st European Modeling & Simulation Symposiumen
dc.identifier.doi10.46354/i3m.2019.emss.002en
local.contributor.firstnameSyed Imranen
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference18th - 20th September, 2019en
local.conference.placeLisbon, Portugalen
local.publisher.placeItalyen
local.format.startpage9en
local.format.endpage15en
local.peerreviewedYesen
local.contributor.lastnameShafiqen
local.contributor.lastnameSaninen
local.contributor.lastnameSzczerbickien
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61901en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleKnowledge based modelling framework for flexible manufacturing systemen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsEMSS 2019: 31st European Modeling & Simulation Symposium, Lisbon, Portugal, 18th - 20th September, 2019en
local.search.authorShafiq, Syed Imranen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/6a9803ea-ade9-4c8f-93d7-bf4ae839523cen
local.uneassociationNoen
dc.date.presented2019-09-18-
local.atsiresearchNoen
local.conference.venueAltis Grand Hotellen
local.sensitive.culturalNoen
local.year.published2019en
local.year.presented2019en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/6a9803ea-ade9-4c8f-93d7-bf4ae839523cen
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/6a9803ea-ade9-4c8f-93d7-bf4ae839523cen
local.subject.for20204602 Artificial intelligenceen
local.date.start2019-09-18-
local.date.end2019-09-20-
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-02en
Appears in Collections:Conference Publication
School of Science and Technology
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