Towards a Data-Driven Framework for Measuring Process Performance View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

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

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. More... »

PAGES

3-18

Book

TITLE

Enterprise, Business-Process and Information Systems Modeling

ISBN

978-3-319-59465-1
978-3-319-59466-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-59466-8_1

DOI

http://dx.doi.org/10.1007/978-3-319-59466-8_1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086689014


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