Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61943
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dc.contributor.authorShafiq, Syed Imranen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorToro, Carlosen
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-08-04T21:33:59Z-
dc.date.available2024-08-04T21:33:59Z-
dc.date.issued2015-
dc.identifier.citationCybernetics and Systems, 46(1-2), p. 35-50en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61943-
dc.description.abstract<p>In this article we propose the concept, its framework, and implementation methodology for Virtual Engineering Objects(VEO). A VEO is the knowledge representation of an engineering object that embodies its associated knowledge and experience. AVEO is capable of adding, storing, improving, and sharing knowledge through experience. Moreover, it is demonstrated that VEO is a specialization of a Cyber-Physical System (CPS). In this article, it is shown through test models how the concept of VEO can be implemented with the Set of Experience Knowledge Structure (SOEKS)and Decisional DNA (DDNA). The test model confirmed that the concept of VEO is able to capture and reuse the experience of engineering artifacts, which can be beneficial for efficient decision-making in industrial design and manufacturing.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleVirtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0en
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2015.1007734en
local.contributor.firstnameSyed Imranen
local.contributor.firstnameCesaren
local.contributor.firstnameCarlosen
local.contributor.firstnameEdwarden
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.startpage35en
local.format.endpage50en
local.peerreviewedYesen
local.identifier.volume46en
local.identifier.issue1-2en
local.title.subtitleToward Experience-Based Design and Manufacturing for Industry 4.0en
local.contributor.lastnameShafiqen
local.contributor.lastnameSaninen
local.contributor.lastnameToroen
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.identifier.unepublicationidune:1959.11/61943en
local.date.onlineversion2015-03-24-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleVirtual Engineering Object (VEO)en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorShafiq, Syed Imranen
local.search.authorSanin, Cesaren
local.search.authorToro, Carlosen
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2015en
local.year.published2015en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/feac1689-1f8c-4e20-9277-df700fecb06aen
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-05en
Appears in Collections:Journal Article
School of Science and Technology
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