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dc.contributor.authorUgarte Querejeta, Miriam
dc.contributor.authorEtxeberria, Leire
dc.contributor.authorSagardui, Goiuria
dc.date.accessioned2021-01-07T15:42:16Z
dc.date.available2021-01-07T15:42:16Z
dc.date.issued2020
dc.identifier.isbn978-3-030-55582-5en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162196en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5144
dc.description.abstractNowadays product manufacturing must respond to mass customisation of products in order to meet the global market needs. This requires an agile and dynamic production process to be competitive in the market. Consequently, the need of factory digitalisation arises with the introduction of Industry 4.0. One example of the digitalisation is the digital twin. Digital twin enhances flexibility due to its adaptability and seamless interaction between the physical system and its virtual model. Furthermore, it bridges the gap between development and operations through the whole product life cycle. Therefore, digital twin can be an enabler for the DevOps application in cyber physical production systems as DevOps aims at merging Development and Operations to provide a continuous and an agile process. This paper analyses the use of the digital twin to enable a DevOps approach of cyber physical production systems (CPPS) in order to create a fully integrated and automated production process, enabling continuous improvement.en
dc.description.sponsorshipUnión Europeaes
dc.description.sponsorshipUnión Europeaes
dc.language.isoengen
dc.publisherSpringer Nature Switzerland AGen
dc.rights© Springer Nature Switzerland AG 2020en
dc.subjectDigital twinen
dc.subjectDevOpsen
dc.subjectLife cycleen
dc.titleTowards a DevOps Approach in Cyber Physical Production Systems Using Digital Twinsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_f1cfen
dcterms.sourceInternational Conference on Computer Safety, Reliability, and Security SAFECOMP 2020en
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.description.publicationfirstpage205en
local.description.publicationlastpage2016en
local.identifier.doihttps://doi.org/10.1007/978-3-030-55583-2_15en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/814078/EU/Digital Manufacturing and Design Training Network/DiManDen
local.relation.projectIDMarie Sktodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018en
local.source.detailsLecture Notes in Computer Science. Vol 12235. Pp. 205-216en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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