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Poss, Leo ; Schönig, Stefan

Location-aware business process modeling and execution

Poss, Leo und Schönig, Stefan (2024) Location-aware business process modeling and execution. Software and Systems Modeling.

Veröffentlichungsdatum dieses Volltextes: 12 Nov 2024 08:37
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.59570


Zusammenfassung

Locally distributed processes include several process participants working on tasks at different locations, e.g., craftspeople working on construction sites. Compared to classical IT environments, new challenges emerge due to the spatial context of a process. Real-time location data from Internet of Things (IoT) devices can help businesses implement more efficient and effective processes through ...

Locally distributed processes include several process participants working on tasks at different locations, e.g., craftspeople working on construction sites. Compared to classical IT environments, new challenges emerge due to the spatial context of a process. Real-time location data from Internet of Things (IoT) devices can help businesses implement more efficient and effective processes through business process management (BPM). However, only small parts of existing research have touched on those advantages, while the architecture and implementation of actual executable location-aware processes area has only been vaguely considered. Therefore, we introduce and present a non-exhaustive list of patterns for using location data in BPM while also including an actual implementation of a location-aware approach using a multilayer system architecture based on standard BPM technology. These can be used to leverage the location perspective of process entities as contextual data in BPM.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftSoftware and Systems Modeling
Verlag:Springer
Datum1 November 2024
InstitutionenWirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig
Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Professur für Wirtschaftsinformatik insbesondere IoT-basierte Informationssysteme – Prof. Dr. Stefan Schönig
Identifikationsnummer
WertTyp
10.1007/s10270-024-01224-7DOI
Stichwörter / KeywordsProcess execution · Location-awareness · Distributed processes
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-595702
Dokumenten-ID59570

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