Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61849
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dc.contributor.authorAhmed, Muhammad Bilalen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-29T01:21:23Z-
dc.date.available2024-07-29T01:21:23Z-
dc.date.issued2018-
dc.identifier.citationCybernetics and Systems, 49(5-6), p. 399-411en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61849-
dc.description.abstract<p>Knowledge and experience are important requirements for product development. The aim of this paper is to propose a systematic approach for industrial product development. This approach uses smart knowledge management system comprising of set of experience knowledge structure and decisional DNA (DDNA) along with virtual engineering tools (virtual engineering object, virtual engineering process, and virtual engineering factory). This system provides a new direction to researchers working on product development, especially designers and manufacturers. It will reduce their communication gap by allowing them to work on the same platform. The proposed system adopts an early consideration of manufacturing issues. Therefore, it can shorten product development cycle time, minimize overall development cost, and ensure a smooth transition into production. The proposed system is dynamic in nature because it updates itself after every time a new decision related to product development activity is made. Product development process can be performed systematically and efficiently using this system as it stores knowledge of experiences of different activities.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleExperience-Based Decisional DNA (DDNA) to Support Product Developmenten
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2017.1418743en
local.contributor.firstnameMuhammad Bilalen
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.startpage399en
local.format.endpage411en
local.peerreviewedYesen
local.identifier.volume49en
local.identifier.issue5-6en
local.contributor.lastnameAhmeden
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.identifier.unepublicationidune:1959.11/61849en
local.date.onlineversion2018-01-22-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleExperience-Based Decisional DNA (DDNA) to Support Product Developmenten
local.relation.fundingsourcenoteThis work was supported by The University of Newcastle, Australia [Grant Number c3273040].en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorAhmed, Muhammad Bilalen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2018en
local.year.published2018en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/a29b1d11-9b4e-4434-a04d-ea91b2886d37en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-01en
Appears in Collections:Journal Article
School of Science and Technology
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