Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61831
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dc.contributor.authorAhmed, Muhammad Bilalen
dc.contributor.authorShafiq, Syed Imranen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-26T08:39:46Z-
dc.date.available2024-07-26T08:39:46Z-
dc.date.issued2019-
dc.identifier.citationCybernetics and Systems, 50(2), p. 165-175en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61831-
dc.description.abstract<p>This paper presents the concept of smart virtual product development (SVPD) system capable of supporting industrial product development process. It enhances the decision making process during different stages and activities involved in product development i.e. product design, manufacturing, and its inspection planning. The enhancement is achieved by using the explicit knowledge of formal past decision events, which are captured, stored, and recalled in the form of set of experiences. The basic description and principle of the approach are introduced first, and then the porotype version of the system is developed and tested. Working of the design knowledge management module of the system is demonstrated with the case study, which verifies the feasibility of the proposed approach. The presented system successfully supports smart product design and it can play a vital role in Industry 4.0 development.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleTowards Experience-Based Smart Product Design for Industry 4.0en
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2019.1565123en
local.contributor.firstnameMuhammad Bilalen
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.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage165en
local.format.endpage175en
local.peerreviewedYesen
local.identifier.volume50en
local.identifier.issue2en
local.contributor.lastnameAhmeden
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.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61831en
local.date.onlineversion2019-02-07-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleTowards Experience-Based Smart Product Design for Industry 4.0en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorAhmed, Muhammad Bilalen
local.search.authorShafiq, Syed Imranen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2019en
local.year.published2019en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/06ede09d-a220-4353-9d7c-c070a1a162ecen
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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