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Fichtner, Myriel ; Schönig, Stefan ; Jablonski, Stefan:
Process Management Enhancement by using Image Mining Techniques : A Position Paper.
In: Filipe, Joaquim ; Smialek, Michal ; Brodsky, Alexander ; Hammoudi, Slimane
(Hrsg.):
Proceedings of the 22nd International Conference on Enterprise Information Systems. Volume 1. -
Setúbal
: SciTePress
,
2020
. - S. 249-255
ISBN 978-989-758-423-7
DOI: https://doi.org/10.5220/0009573502490255
Abstract
Business process modeling is a well-established method to define and visualize business processes. In complex processes, related process models may become large and hard to trace. To keep the readability of process models, process details are omitted. In other cases, process designers are not aware which process steps should be modelled in detail. However, the input specification of some process steps or the order of internal sub-steps could have an impact on the success of the overall process. The most straightforward solution is to identify the cause of reduced process success in order to improve the process results. This can be challenging, especially in flexible process environments with multiple process participants. In this paper we tackle this problem through recording image data of process executions and analyzing them with image mining techniques.
We propose to redesign business process models considering the analysis results to reach more effective and efficient process executions.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Image Mining; Process Model Enhancement; Quality Control; Recommendation System; Process Redesign |
| Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV Fakultäten Fakultäten > Fakultät für Mathematik, Physik und Informatik Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik 600 Technik, Medizin, angewandte Wissenschaften > 680 Industrielle Fertigung für einzelne Verwendungszwecke |
| Eingestellt am: | 25 Mai 2020 12:44 |
| Letzte Änderung: | 02 Okt 2023 13:41 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/55205 |