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dc.contributor.authorCupek, Rafal
dc.contributor.authorDrewniak, Marek
dc.contributor.authorZiebinski, Adam
dc.contributor.authorFojcik, Marcin
dc.date.accessioned2020-03-16T07:15:48Z
dc.date.available2020-03-16T07:15:48Z
dc.date.created2019-11-26T09:16:38Z
dc.date.issued2019
dc.identifier.citationCupek, R., Drewniak, M., Ziebinski, A. & Fojcik, M. (2019). “Digital twins” for highly customized electronic devices: Case study on a rework operation. IEEE Access, 7, 164127-164143.en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/11250/2646843
dc.description.abstractThe ongoing changes in manufacturing require that new information models for industrial computer systems be developed and applied. This paper describes a concept for the material model as a “digital twin” for producing highly customised, smart electronic devices. The scope of the research is the transformation of the models that are typical for the currently used automation pyramid approach to Reference Architecture Models for Industry 4.0 (RAMI4.0). The ISA95 standard is used as the modelling tool and Open Production Connectivity Unified Architecture (OPC UA) as the communication middleware. The presented use case focuses on a rework operation that is performed during the short series production of highly customised electronic devices that are produced by the Aiut company. The paper focuses on the transformation from the static architecture of Manufacturing Execution Systems to flexible and dynamic information models.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectproductionen_US
dc.subjectmanufacturingen_US
dc.subjectunified modeling languageen_US
dc.subjectcomputational modelingen_US
dc.subjectobject oriented modelingen_US
dc.subjectautomationen_US
dc.subjectcomputer architectureen_US
dc.title“Digital Twins” for Highly Customized Electronic Devices – Case Study on a Rework Operationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2019 The Authorsen_US
dc.source.pagenumber164127-164143en_US
dc.source.volume7en_US
dc.source.journalIEEE Accessen_US
dc.identifier.doi10.1109/ACCESS.2019.2950955
dc.identifier.cristin1752194
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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