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dc.contributor.authorAldalur, Iñigo
dc.contributor.authorIllarramendi, Miren
dc.contributor.authorLarrinaga, Felix
dc.contributor.authorPerez Lazare, Jose María
dc.contributor.otherSáenz, Fernando
dc.contributor.otherUnamuno Eguren, Gorka
dc.contributor.otherLazkanoiturburu, Iñaxio
dc.date.accessioned2022-10-03T13:23:41Z
dc.date.available2022-10-03T13:23:41Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-5414-5en
dc.identifier.issn2577-1647en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=159553en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5710
dc.description.abstractImmersed in the digital era and fully experiencing the changes introduced by the new industrial revolution of the so-called Industry 4.0, there are still many aspects of industrial digitization to resolve. Interoperability among devices and machines is one of the challenges. Sensors, components and machines from different vendors work as independent silos offering large amounts of heterogeneous data which relational capabilities are not fully exploited. Quick development, deployment and testing of new software solutions that take advantage of those data is another important matter. The requirements in terms of equipment resources and engineering efforts is high when planning new implementations. Platforms that enable the efficient application of those solutions at the right level (machine, edge, plant or cloud) are also necessary.(p)(/p)This paper presents an industrial case study on the application of the Arrowhead framework. The framework is implemented in the Machine Tooling ecosystem and enables the integration of grinding machines with other sensors, components or machines. Different software engineering tools offered with Arrowhead are used to design new solutions in Cyber-Physical System and Internet of Things in Industry 4.0 and make them Arrowhead compliant, for fast deployment of platforms and applications (Dockers) or for testing purposes (Management tool). Finally, the potential of agile construction of new applications is analysed by providing an Human-Machine Interface at machine level and the provision of services for data consumption at cloud level.en
dc.description.sponsorshipGobierno Vascoes
dc.description.sponsorshipComisión Europeaes
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2020 IEEEen
dc.subjectInternet of Thingsen
dc.subjectSoftwareaen
dc.subjectIndustriesen
dc.subjectCloud computingen
dc.subjectToolsen
dc.subjectInteroperabilityen
dc.subjectcompaniesen
dc.titleAdvantages of Arrowhead Framework for the Machine Tooling Industryen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.source46th Annual Conference of the IEEE Industrial Electronics Societyen
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.description.publicationfirstpage4511en
local.description.publicationlastpage4518en
local.identifier.doihttps://doi.org/10.1109/IECON43393.2020.9254868en
local.relation.projectIDinfo:eu-repo/grantAgreement/GV/Ikertalde Convocatoria 2019-2021/IT1326-19/CAPV/Ingeniería de Software y Sistemas/en
local.relation.projectIDinfo:eu-repo/grantAgreement/GV/Elkartek 2018/KK-2018-00104/CAPV/Teknologia Ekin Hagin (T) Zerra Erabiliz/TEKINTZEen
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/737459/EU/Electronics and ICT as enabler for digital industry and optimized supply chain management covering the entire product lifecycle/PRODUCTIVE4.0en
local.contributor.otherinstitutionSavvy Data Systemsen
local.contributor.otherinstitutionhttps://ror.org/003qafx79es
local.source.detailsSingapore. 18-21 octubre 2020. Pp. 4511-4518. IEEE,en
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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