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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61874
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dc.contributor.authorShafiq, Syed Imranen
dc.contributor.authorVelez, Gorkaen
dc.contributor.authorToro, Carlosen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-31T21:21:44Z-
dc.date.available2024-07-31T21:21:44Z-
dc.date.issued2016-
dc.identifier.citationProcedia Computer Science, v.96, p. 1801-1808en
dc.identifier.issn1877-0509en
dc.identifier.urihttps://hdl.handle.net/1959.11/61874-
dc.description.abstract<p>This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play a vital role in developing an architecture and implementation of Industry 4.0. The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process. It is also capable of continuous real time visualization of key performance indicators (KPI's) and supports M2M communications over novel protocols like OPC-UA. Our model covers the industrial manufacturing cycle right from capturing raw data at machine level, converting it into useful information, doing semantics analysis and performs real time KPI visualization.</p>en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofProcedia Computer Scienceen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleDesigning Intelligent Factory: Conceptual Framework and Empirical Validationen
dc.typeConference Publicationen
dc.relation.conferenceKES 2016: 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systemsen
dc.identifier.doi10.1016/j.procs.2016.09.351en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameSyed Imranen
local.contributor.firstnameGorkaen
local.contributor.firstnameCarlosen
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.conference5th - 7th September, 2016en
local.conference.placeUnited Kindomen
local.publisher.placeThe Netherlandsen
local.format.startpage1801en
local.format.endpage1808en
local.peerreviewedYesen
local.identifier.volume96en
local.title.subtitleConceptual Framework and Empirical Validationen
local.access.fulltextYesen
local.contributor.lastnameShafiqen
local.contributor.lastnameVelezen
local.contributor.lastnameToroen
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.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61874en
local.date.onlineversion2016-10-19-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleDesigning Intelligent Factoryen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsKES 2016: 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, United Kindom, 5th - 7th September, 2016en
local.search.authorShafiq, Syed Imranen
local.search.authorVelez, Gorkaen
local.search.authorToro, Carlosen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/8526f599-e5fd-495c-8543-03301057cc1den
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2016en
local.year.published2016en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/8526f599-e5fd-495c-8543-03301057cc1den
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/8526f599-e5fd-495c-8543-03301057cc1den
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-13en
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School of Science and Technology
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