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Song, Minseok
Business Process Intelligence(BPI) Lab
Research Interests
  • Process mining

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Discovering simulation models

Cited 21 times inthomson ciCited 40 times inthomson ci
Title
Discovering simulation models
Author
Rozinat, A.Mans, R. S.Song, Minseokvan der Aalst, W. M. P.
Keywords
Colored Petri nets; Petri nets; Process mining; Simulation models
Issue Date
200905
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
INFORMATION SYSTEMS, v.34, no.3, pp.305 - 327
Abstract
Process mining is a tool to extract non-trivial and useful information from process execution logs. These so-called event logs (also called audit trails, or transaction logs) are the starting point for various discovery and analysis techniques that help to gain insight into certain characteristics of the process. In this paper we use a combination of process mining techniques to discover multiple perspectives (namely, the control-flow, data, performance, and resource perspective) of the process from historic data, and we integrate them into a comprehensive simulation model. This simulation model is represented as a colored Petri net (CPN) and can be used to analyze the process, e.g., evaluate the performance of different alternative designs. The discovery of simulation models is explained using a running example. Moreover, the approach has been applied in two case studies; the workflows in two different municipalities in the Netherlands have been analyzed using a combination of process mining and simulation. Furthermore, the quality of the CPN models generated for the running example and the two case studies has been evaluated by comparing the original logs with the logs of the generated models.
URI
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DOI
http://dx.doi.org/10.1016/j.is.2008.09.002
ISSN
0306-4379
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