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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61778
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dc.contributor.authorBakhtari, Ahmad Reshaden
dc.contributor.authorWaris, Mohammad Maqboolen
dc.contributor.authorMannan, Bismaen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-23T23:25:43Z-
dc.date.available2024-07-23T23:25:43Z-
dc.date.issued2020-
dc.identifier.citationIntelligent Information and Database Systems, v.1178, p. 216-225en
dc.identifier.issn1751-5866en
dc.identifier.issn1751-5858en
dc.identifier.urihttps://hdl.handle.net/1959.11/61778-
dc.description.abstract<p>This paper assesses some features of industry 4.0 by using SWOT analysis that affects the adoption and implementation of industry 4.0. The paper identifies the strengths, weaknesses, opportunities, and threats related to industry 4.0. By the consideration of these four groups of factors, the industrial practitioners can understand how to implement industry 4.0. Moreover, industrial practitioners can use the strengths/opportunities offered by industry 4.0 to take strategic decisions to decrease the effect of the threats/weaknesses that come along with industry 4.0.</p>en
dc.languageenen
dc.publisherInderscience Publishersen
dc.relation.ispartofIntelligent Information and Database Systemsen
dc.titleAssessing Industry 4.0 Features Using SWOT Analysisen
dc.typeConference Publicationen
dc.relation.conferenceACIIDS 2020: Asian Conference on Intelligent Information and Database Systems (ACIIDS) Conferenceen
dc.identifier.doi10.1007/978-981-15-3380-8_19en
local.contributor.firstnameAhmad Reshaden
local.contributor.firstnameMohammad Maqboolen
local.contributor.firstnameBismaen
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.conference23rd to 26th of March, 2020en
local.conference.placeThailanden
local.publisher.placeSwitzerlanden
local.format.startpage216en
local.format.endpage225en
local.peerreviewedYesen
local.identifier.volume1178en
local.contributor.lastnameBakhtarien
local.contributor.lastnameWarisen
local.contributor.lastnameMannanen
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:1959.11/61778en
local.date.onlineversion2020-03-03-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAssessing Industry 4.0 Features Using SWOT Analysisen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsACIIDS 2020: Asian Conference on Intelligent Information and Database Systems (ACIIDS) Conference, Thailand, 23rd to 26th of March, 2020en
local.search.authorBakhtari, Ahmad Reshaden
local.search.authorWaris, Mohammad Maqboolen
local.search.authorMannan, Bismaen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2020en
local.year.published2020en
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
Appears in Collections:Conference Publication
School of Science and Technology
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