Workflow simulation for operational decision support

Rozinat, Anne, Wynn, Moe T., van der Aalst, Wil M. P., ter Hofstede, Arthur H. M., & Fidge, Colin J. (2009) Workflow simulation for operational decision support. Data and Knowledge Engineering, 68(9), pp. 834-850.

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Simulation is widely used as a tool for analyzing business processes but is mostly focused on examining abstract steady-state situations. Such analyses are helpful for the initial design of a business process but are less suitable for operational decision making and continuous improvement. Here we describe a simulation system for operational decision support in the context of workflow management. To do this we exploit not only the workflow’s design, but also use logged data describing the system’s observed historic behavior, and incorporate information extracted about the current state of the workflow. Making use of actual data capturing the current state and historic information allows our simulations to accurately predict potential near-future behaviors for different scenarios. The approach is supported by a practical toolset which combines and extends the workflow management system YAWL and the process mining framework ProM.

Impact and interest:

88 citations in Scopus
49 citations in Web of Science®
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ID Code: 27657
Item Type: Journal Article
Refereed: Yes
Keywords: Workflow management systems, Simulation
DOI: 10.1016/j.datak.2009.02.014
ISSN: 0169-023X
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900) > Information and Computing Sciences not elsewhere classified (089999)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2009 Elsevier
Deposited On: 30 Sep 2009 23:42
Last Modified: 09 Jul 2017 07:01

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