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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorUgarte Querejeta, Miriam
dc.contributor.authorEtxeberria, Leire
dc.contributor.otherUnamuno Eguren, Gorka
dc.contributor.otherBellanco, Jose Luis
dc.contributor.otherUgalde, Eneko
dc.date.accessioned2022-03-08T15:56:29Z
dc.date.available2022-03-08T15:56:29Z
dc.date.issued2022
dc.identifier.issn1877-0509en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=166803en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5485
dc.description.abstractVirtual commissioning is not a new concept; However, it is all the rage with the introduction of Industry 4.0, in the field of product lifecycle management, computer-aided design (CAD), computer-aided manufacturing (CAM), and within the industrial automation programming frameworks. Although, this is a very active area of research and innovation, these technologies have little implementation in the machine tool industry [11]. There is still no integrated simulation environment for virtual commissioning in the market. In this context, digitalisation is a key driver. The aim of this paper is to describe the practice of virtual commissioning in the machine tool manufacturing industry by identifying available solutions in the market and addressing the challenges faced within the machine tool sector. As a result, a digital twin based virtual commissioning solution has been developed at Danobatgroup, the leading machine tool builder in Spain, which is a step forward towards the digitalisation of machine tool manufacturing.en
dc.description.sponsorshipComisión Europeaes
dc.language.isoengen
dc.publisherElsevier B.V.en
dc.rights© 2022 by the authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectdigital twinen
dc.subjectMachine toolen
dc.subjectvirtual commissioningen
dc.subjectsimulationen
dc.titleImplementation of Digital Twin-based Virtual Commissioning in Machine Tool Manufacturingen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceProcedia Computer Scienceen
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.description.publicationfirstpage527en
local.description.publicationlastpage536en
local.identifier.doihttps://doi.org/10.1016/j.procs.2022.01.250en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/814078/EU/Digital Manufacturing and Design Training Network/DiManDen
local.contributor.otherinstitutionhttps://ror.org/003qafx79es
local.contributor.otherinstitutionhttps://ror.org/033vryh36es
local.source.detailsVol. 200. Pp. 527-536, 2022en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International