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.
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.
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|Item Type:||Journal Article|
|Keywords:||Workflow management, Process Mining, Short, term simulation|
|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|
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