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dc.contributor.authorKorablyov, Mykola
dc.contributor.authorLutskyy, Sergey
dc.contributor.authorIvanisenko, Ihor
dc.contributor.authorFomichov, Oleksandr
dc.contributor.editorNagar, Atulya K.
dc.contributor.editorSingh Jat, Dharm
dc.contributor.editorMishra, Durgesh
dc.contributor.editorJoshi, Amit
dc.date.accessioned2024-03-20T08:53:53Z
dc.date.available2024-03-20T08:53:53Z
dc.date.issued2024
dc.identifier.citationKorablyov, M., Lutskyy, S., Ivanisenko, I., & Fomichov, O. (2024). System-Information Models of Digital Twins. In A. K. Nagar, D. Singh Jat, D. Mishra, & A. Joshi (Eds.), <i>Intelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 1</i> (pp. 101-109). Springer. Lecture Notes in Networks and Systems, 812. <a href="https://doi.org/10.1007/978-981-99-8031-4_10" target="_blank">https://doi.org/10.1007/978-981-99-8031-4_10</a>
dc.identifier.otherCONVID_207401883
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/93979
dc.description.abstractTo represent the production process, a digital twin model is used, which takes into account the real parameters of technological processes. Management of product life cycle processes is implemented on the basis of a digital twin of the Unified System Information Space (USIS), built on system-information models of processes and systems. It is used as a platform for management using software products Product Lifecycle System Information (PLSI), which are system-compatible with technological system software Product Lifecycle Management (PLM). The digital twin describes the functional dependence of the expanded uncertainty of the normalized information space on the values of the nominal parameters for a specific production technology using a software product (USIS + PLSI + PLM). This allows you to use software products for designing CAD, CAM, and CAE systems when solving production problems on one information platform. Using a system-information approach to modeling digital twins of production allows you to effectively solve problems related to the analysis, synthesis, management, and forecasting of production.en
dc.format.extent566
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofIntelligent Sustainable Systems : Selected Papers of WorldS4 2023, Volume 1
dc.relation.ispartofseriesLecture Notes in Networks and Systems
dc.rightsIn Copyright
dc.subject.otherdigital twin
dc.subject.othermodeling
dc.subject.otherproduction processes
dc.subject.othersystem information approach
dc.subject.otherself-organization
dc.titleSystem-Information Models of Digital Twins
dc.typeconference paper
dc.identifier.urnURN:NBN:fi:jyu-202403202493
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-981-99-8030-7
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange101-109
dc.relation.issn2367-3370
dc.type.versionacceptedVersion
dc.rights.copyright© 2024 the Authors
dc.rights.accesslevelembargoedAccessfi
dc.type.publicationconferenceObject
dc.relation.conferenceWorld Conference on Smart Trends in Systems, Security and Sustainability
dc.subject.ysotuotantotekniikka
dc.subject.ysojärjestelmäsuunnittelu
dc.subject.ysomallintaminen
dc.subject.ysotuotantojärjestelmät
dc.subject.ysoelinkaari
dc.subject.ysodigitaalinen kaksonen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p19050
jyx.subject.urihttp://www.yso.fi/onto/yso/p28347
jyx.subject.urihttp://www.yso.fi/onto/yso/p3533
jyx.subject.urihttp://www.yso.fi/onto/yso/p21651
jyx.subject.urihttp://www.yso.fi/onto/yso/p16922
jyx.subject.urihttp://www.yso.fi/onto/yso/p39797
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-981-99-8031-4_10
dc.type.okmA4


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