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Process Management Enhancement by using Image Mining Techniques : A Position Paper

Title data

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 (ed.): Proceedings of the 22nd International Conference on Enterprise Information Systems. Volume 1. - s.l. : SciTePress , 2020 . - pp. 249-255
ISBN 978-989-758-423-7
DOI: https://doi.org/10.5220/0009573502490255

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Image Mining; Process Model Enhancement; Quality Control; Recommendation System; Process Redesign
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
600 Technology, medicine, applied sciences > 600 Technology
600 Technology, medicine, applied sciences > 680 Manufacture for specific uses
Date Deposited: 25 May 2020 12:44
Last Modified: 25 May 2020 12:44
URI: https://eref.uni-bayreuth.de/id/eprint/55205