Business process performance mining with staged process flows

Nguyen, Hoang, Dumas, Marlon, ter Hofstede, Arthur H.M., La Rosa, Marcello, & Maggi, Fabrizio Maria (2016) Business process performance mining with staged process flows. In 28th International Conference, CAiSE 2016, 13-17 June 2016, Ljubljana, Slovenia.

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Existing process mining techniques provide summary views of the overall process performance over a period of time, allowing analysts to identify bottlenecks and associated performance issues. However, these tools are not de- signed to help analysts understand how bottlenecks form and dissolve over time nor how the formation and dissolution of bottlenecks – and associated fluctua- tions in demand and capacity – affect the overall process performance. This paper presents an approach to analyze the evolution of process performance via a notion of Staged Process Flow (SPF). An SPF abstracts a business process as a series of queues corresponding to stages. The paper defines a number of stage character- istics and visualizations that collectively allow process performance evolution to be analyzed from multiple perspectives. The approach has been implemented in the ProM process mining framework. The paper demonstrates the advantages of the SPF approach over state-of-the-art process performance mining tools using two real-life event logs publicly available.

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ID Code: 91110
Item Type: Conference Paper
Refereed: No
Additional Information: Proceedings published as: Advanced Information Systems Engineering; Volume 9694 of the series Lecture Notes in Computer Science.
Keywords: Staged process flow, Cumulative flow diagram, Lean, Kanban, Business process management, Process performance, Process mining
DOI: 10.1007/978-3-319-39696-5_11
ISBN: 9783319396965
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Springer International Publishing Switzerland 2016
Deposited On: 22 Dec 2015 00:53
Last Modified: 16 Jul 2017 08:17

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