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Enhancing Digital Twins for Production through Process Mining Techniques: A Literature Review

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dc.contributor.authorSchumacher, Marcel
dc.contributor.authorBuschermöhle, Ralf
dc.contributor.authorHaak, Liane
dc.contributor.authorHöfinghoff, Max
dc.contributor.authorSeipolt, Arne
dc.contributor.authorKorn, Goy-Hinrich
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:20Z
dc.date.available2023-11-29T14:50:20Z
dc.date.issued2023
dc.description.abstractA digital twin (DT) plays a vital role in the advancement of manufacturers towards Industry 4.0. However, the creation and maintenance of DTs can be time-consuming. One approach to streamline this process is the utilization of process mining (PM) methods and techniques, which can automatically generate valuable information for DTs. Therefore, this paper aims to examine different approaches that augment DTs with PM and explore their effects. The review categorizes these approaches into three groups: theoretical approaches, approaches with laboratory case studies, and approaches with real-world case studies conducted by manufacturers. The review reveals that the use of PM can enhance the flexibility and sustainability of DTs. However, this improvement comes at the cost of requiring high-quality data and more data preparation efforts.en
dc.identifier.doi10.18420/inf2023_146
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43070
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectProcess Mining
dc.subjectDigital Twin
dc.subjectProduction
dc.titleEnhancing Digital Twins for Production through Process Mining Techniques: A Literature Reviewen
dc.typeText/Conference Paper
gi.citation.endPage1406
gi.citation.publisherPlaceBonn
gi.citation.startPage1399
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖkologische Nachhaltigkeit - Zukunft nachhaltig gestalten durch digitalisierte Wertschöpfungsprozesse (DigiWe)

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten