Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61788
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dc.contributor.authorBakhtari, Ahmad Reshaden
dc.contributor.authorKumar, Vineeten
dc.contributor.authorWaris, Mohammad Maqboolen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-24T07:31:42Z-
dc.date.available2024-07-24T07:31:42Z-
dc.date.issued2020-
dc.identifier.citationProcedia Computer Science, v.176, p. 2384-2393en
dc.identifier.issn1877-0509en
dc.identifier.urihttps://hdl.handle.net/1959.11/61788-
dc.description.abstract<p>For the last few years, the fourth industrial revolution, known as Industry 4.0, has been a hot topic among academics. Industry 4.0 literature involves researches presenting studies related to its different aspects including challenges, opportunities, implementation and adoption. However, a detailed study of challenges and barriers towards the Industry 4.0 implementation in manufacturing industries is missing. Hence, this paper aims to study and analyze the Industry 4.0 implementation challenges in manufacturing industries based on the expert opinions and the Interpretive Structural Modelling (ISM). The ISM analysis investigates the challenges in a structural base, finds the relationships between these challenges and finally shows how challenges affect each other to uncover the root cause triggering the other challenges. The industrial practitioners and managers can then take advantage of this analysis to know which challenge acts as the main barrier towards Industry 4.0 implementation and to be focused first in order to reach a solution.</p>en
dc.languageenen
dc.publisherElsevier BVen
dc.relation.ispartofProcedia Computer Scienceen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleIndustry 4.0 Implementation Challenges in Manufacturing Industries: an Interpretive Structural Modelling Approachen
dc.typeConference Publicationen
dc.relation.conferenceKES 2020: 24th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES) Conferenceen
dc.identifier.doi10.1016/j.procs.2020.09.306en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameAhmad Reshaden
local.contributor.firstnameVineeten
local.contributor.firstnameMohammad Maqboolen
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference16th to 18th of September, 2020en
local.publisher.placeThe Netherlandsen
local.format.startpage2384en
local.format.endpage2393en
local.peerreviewedYesen
local.identifier.volume176en
local.title.subtitlean Interpretive Structural Modelling Approachen
local.access.fulltextYesen
local.contributor.lastnameBakhtarien
local.contributor.lastnameKumaren
local.contributor.lastnameWarisen
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.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61788en
local.date.onlineversion2020-10-02-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleIndustry 4.0 Implementation Challenges in Manufacturing Industriesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsKES 2020: 24th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES) Conference, 16th to 18th of September, 2020en
local.search.authorBakhtari, Ahmad Reshaden
local.search.authorKumar, Vineeten
local.search.authorWaris, Mohammad Maqboolen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/d83c537f-f37c-4f33-98cc-3edf98e04c90en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2020en
local.year.published2020en
local.year.presented2020en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/d83c537f-f37c-4f33-98cc-3edf98e04c90en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/d83c537f-f37c-4f33-98cc-3edf98e04c90en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-05en
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School of Science and Technology
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