Towards a Data-Driven Framework for Measuring Process Performance

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

Tags: 2017, conceptual modeling

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.

Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-319-59466-8_1