Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61881
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dc.contributor.authorShafiq, Syed Imranen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.contributor.authorToro, Carlosen
dc.date.accessioned2024-08-01T07:21:17Z-
dc.date.available2024-08-01T07:21:17Z-
dc.date.issued2016-
dc.identifier.citationCybernetics and Systems, 47(1-2), p. 32-47en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61881-
dc.description.abstract<p>In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communication of engineering objects. Consequently, Decisional DNA-based knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO), virtual engineering processes (VEP), and virtual engineering factories (VEF), respectively. In this study, assimilation of VEO-VEP-VEF concept in the Cyber-physical system-based Industry 4.0 is proposed. The planned concept is implemented on a case study. Also, Decisional DNA features such as similarity identification and phenotyping are explored for validation. It is concluded that this approach can support Industry 4.0 and can facilitate in real time critical, creative, and effective decision making.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleVirtual Engineering Factory: Creating Experience Base for Industry 4.0en
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2016.1128762en
local.contributor.firstnameSyed Imranen
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.contributor.firstnameCarlosen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage32en
local.format.endpage47en
local.peerreviewedYesen
local.identifier.volume47en
local.identifier.issue1-2en
local.title.subtitleCreating Experience Base for Industry 4.0en
local.contributor.lastnameShafiqen
local.contributor.lastnameSaninen
local.contributor.lastnameSzczerbickien
local.contributor.lastnameToroen
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61881en
local.date.onlineversion2016-02-09-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleVirtual Engineering Factoryen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorShafiq, Syed Imranen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.search.authorToro, Carlosen
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2016en
local.year.published2016en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/d2b2c751-62a8-4b00-a297-f122157d1190en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-02en
Appears in Collections:Journal Article
School of Science and Technology
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