Towards a Data-Driven Framework for Measuring Process Performance

Isabella Kis, Stefan Bachhofner, Claudio Di Ciccio, Jan Mendling

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband


Studies have shown that the focus of Business Process Management (BPM) mainly lies on process discovery and process implementation \& execution. In contrast, process analysis, i.e., the measurement of process performance, has been mostly neglected in the field of process science so far. However, in order to be viable in the long run, a process' performance has to be made evaluable. To enable this kind of analysis, the suggested approach in this idea paper builds upon the well-established notion of devil's quadrangle. The quadrangle depicts the process performance according to four dimensions (time, cost, quality and flexibility), thus allowing for a meaningful assessment of the process. In the course of this paper, a framework for the measurement of each dimension is proposed, based on the analysis of process execution data. A trailing example is provided that reflects the expressed concepts on a tangible realistic scenario.
Titel des SammelwerksEnterprise, Business-Process and Information Systems Modeling: 18th International Conference, BPMDS 2017, 22nd International Conference, EMMSAD 2017, Held at CAiSE 2017, Essen, Germany, June 12-13, 2017, Proceedings
Herausgeber*innen Iris Reinhartz-Berger, Jens Gulden, Selmin Nurcan, Wided Guédria, Palash Bera
ErscheinungsortEssen, Germany
Seiten3 - 18
ISBN (Print)978-3-319-59466-8
PublikationsstatusVeröffentlicht - 2017

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

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