Modeling Digital Shadows in Manufacturing by Using Process Mining
dc.contributor.author | Brockhoff, Tobias | |
dc.contributor.author | Uysal, Merih Seran | |
dc.contributor.author | van der Aalst, Wil | |
dc.contributor.editor | Michael, Judith | |
dc.contributor.editor | Pfeiffer | |
dc.contributor.editor | Jérôme | |
dc.contributor.editor | Wortmann, Andreas | |
dc.date.accessioned | 2022-06-30T13:00:58Z | |
dc.date.available | 2022-06-30T13:00:58Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Friction in shopfloor-level manufacturing processes often occurs at the intersection of different subprocesses (e. g., joining sub-parts). Therefore, considering the Digital Shadows (DSs) of individual materials/sub-parts is not sufficient when analyzing the processes. To this end, holistic views on shopfloor-level processes that integrate multiple DSs are needed. In this work, we discuss how material-centric DSs supported by discrete assembly events can be integrated using techniques from process mining. In particular, we propose to utilize DSs that contain additional structural information to overcome the main challenges of concurrency and the presence of many different objects. | en |
dc.identifier.doi | 10.18420/modellierung2022ws-015 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/38777 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Modellierung 2022 Satellite Events | |
dc.subject | Digital Shadow | |
dc.subject | Process Mining | |
dc.subject | Bill of Materials | |
dc.subject | Manufacturing Process Discovery | |
dc.title | Modeling Digital Shadows in Manufacturing by Using Process Mining | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 138 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 133 | |
gi.conference.date | 27.6. - 1.7.2022 | |
gi.conference.location | Hamburg | |
gi.conference.sessiontitle | MoPro - Modeling in (and for) Production |
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