QUT ePrints

Workflow Simulation for Operational Decision Support Using Design, Historic and State Information

Rozinat, Anne, Wynn, Moe T., van der Aalst, Wil M., ter Hofstede, Arthur H.M., & Fidge, Colin J. (2008) Workflow Simulation for Operational Decision Support Using Design, Historic and State Information. Lecture Notes in Computer Science, LNCS 5240, pp. 196-211.

View at publisher

Abstract

Simulation is widely used as a tool for analyzing business processes but is mostly focused on examining rather 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 logged data describing the system's observed historic behavior, and 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 work ow management system YAWL and the process mining framework ProM.

Impact and interest:

11 citations in Scopus
Search Google Scholar™
10 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

493 since deposited on 22 Oct 2008
78 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 15297
Item Type: Journal Article
Keywords: Workflow management, Process Mining, Short, term simulation
DOI: 10.1007/978-3-540-85758-7_16
ISBN: 9783540857570
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems not elsewhere classified (080699)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 22 Oct 2008
Last Modified: 29 Feb 2012 23:46

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page