Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61775
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dc.contributor.authorAhmed, Muhammad Bilalen
dc.contributor.authorMajeed, Farhaten
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-23T08:35:26Z-
dc.date.available2024-07-23T08:35:26Z-
dc.date.issued2020-
dc.identifier.citationCybernetics and Systems, 51(2), p. 246-257en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61775-
dc.description.abstract<p>This paper proposes the Smart Virtual Product Development (SVPD) system, which enhances the industrial product manufacturing processes. The proposed system comprises of three main modules: design knowledge management (DKM), manufacturing capability analysis and process planning (MCAPP), and product inspection planning (PIP). Smart virtual product development system collects, stores, and uses experiential knowledge from formal decisional events in the form of set of experience (SOE). This research explains the working mechanism of MCAPP module, and shows how manufacturing knowledge of similar products having some common features and functions is used to enrich the manufacturing process. First, the basic description and principles of the approach are introduced, then the prototype version of the system is developed and tested for manufacturing capability and process planning (MCAPP) module for the case study, which verifies the feasibility of the proposed approach. The presented system successfully supports smart manufacturing, and can play a vital role in Industry 4.0.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleEnhancing Product Manufacturing through Smart Virtual Product Development (SVPD) for Industry 4.0en
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2019.1705544en
local.contributor.firstnameMuhammad Bilalen
local.contributor.firstnameFarhaten
local.contributor.firstnameCesaren
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.startpage246en
local.format.endpage257en
local.peerreviewedYesen
local.identifier.volume51en
local.identifier.issue2en
local.contributor.lastnameAhmeden
local.contributor.lastnameMajeeden
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.identifier.unepublicationidune:1959.11/61775en
local.date.onlineversion2020-01-20-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEnhancing Product Manufacturing through Smart Virtual Product Development (SVPD) for Industry 4.0en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorAhmed, Muhammad Bilalen
local.search.authorMajeed, Farhaten
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2020en
local.year.published2020en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/bcb554c9-e385-4d00-aaa8-f4475f43fc8aen
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-26en
Appears in Collections:Journal Article
School of Science and Technology
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