Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61723
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dc.contributor.authorAhmed, Muhammad Bilalen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-19T09:00:06Z-
dc.date.available2024-07-19T09:00:06Z-
dc.date.issued2022-
dc.identifier.citationCybernetics and Systems, 53(5), p. 468-481en
dc.identifier.issn1087-6553en
dc.identifier.issn0196-9722en
dc.identifier.urihttps://hdl.handle.net/1959.11/61723-
dc.description.abstract<p>Smart Virtual Product Development (SVPD) system provides effective use of information, knowledge, and experience in industry during the process of product development in Industry 4.0 scenario. This system comprises of three primary modules, each of which has been developed to cater to a need for digital knowledge capture for smart manufacturing in the areas of product design, production planning, and inspection planning. Manufacturing Capability Analysis and Process Planning (MCAPP) module is an important module of the SVPD system, and it involves the provision of manufacturing knowledge to experts working on product development at the early stages of the product lifecycle. In this research, we firstly describe the structure and working mechanism of the SVPD system’s MCAPP module. This is followed by validation of the MCAPP module’s Manufacturing Process Planning (MPP) sub-module against the key performance indicators (KPIs) by using our threading tap case study. Our results verify the feasibility of our approach and show how manufacturing knowledge relating to features and functions can be used to enhance the manufacturing process across similar products during the early stages of product development. An analysis of the basic concepts and methods of implementation show that this is an expert system capable of supporting smart manufacturing which can play a vital role in the establishment of Industry 4.0.</p>en
dc.languageenen
dc.publisherTaylor & Francis Incen
dc.relation.ispartofCybernetics and Systemsen
dc.titleSmart Virtual Product Development: Manufacturing Capability Analysis and Process Planning Moduleen
dc.typeJournal Articleen
dc.identifier.doi10.1080/01969722.2021.2018546en
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.startpage468en
local.format.endpage481en
local.peerreviewedYesen
local.identifier.volume53en
local.identifier.issue5en
local.title.subtitleManufacturing Capability Analysis and Process Planning Moduleen
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:1959.11/61723en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleSmart Virtual Product Developmenten
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.published2022en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/af9bab93-12ae-4e2c-a69b-56e33fdc1edeen
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-22en
Appears in Collections:Journal Article
School of Science and Technology
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