Kis, Isabella, Bachhofner, Stefan, Di Ciccio, Claudio, Mendling, Jan. 2017. Towards a Data-Driven Framework for Measuring Process Performance. In Enterprise, 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, Hrsg. Iris Reinhartz-Berger, Jens Gulden, Selmin Nurcan, Wided Guédria, Palash Bera, 3-18. Essen, Germany: Springer.
BibTeX
Abstract
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.
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Status of publication | Published |
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Affiliation | WU |
Type of publication | Contribution to conference proceedings |
Language | English |
Title | Towards a Data-Driven Framework for Measuring Process Performance |
Title of whole publication | Enterprise, 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 |
Editor | Iris Reinhartz-Berger, Jens Gulden, Selmin Nurcan, Wided Guédria, Palash Bera |
Page from | 3 |
Page to | 18 |
Location | Essen, Germany |
Publisher | Springer |
Year | 2017 |
ISBN | 978-3-319-59466-8 |
URL | http://dx.doi.org/10.1007/978-3-319-59466-8_1 |
Associations
- People
- Kis, Isabella (Former researcher)
- Bachhofner, Stefan (Details)
- Di Ciccio, Claudio (Former researcher)
- Mendling, Jan (Details)
- Organization
- Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 1105 Computer software (Details)
- 1108 Informatics (Details)
- 1109 Information and data processing (Details)
- 5306 Business data processing (Details)
- 5367 Management information systems (Details)