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

  • Anne Rozinat
  • Moe Wynn
  • Wil van der Aalst
  • Arthur ter Hofstede
  • Colin Fidge
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5240)

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 workflow management system YAWL and the process mining framework ProM.

Keywords

Workflow Management Process Mining Short-term Simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Anne Rozinat
    • 1
  • Moe Wynn
    • 2
  • Wil van der Aalst
    • 1
    • 2
  • Arthur ter Hofstede
    • 2
  • Colin Fidge
    • 2
  1. 1.Information Systems GroupEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Business Process Management GroupQueensland University of TechnologyBrisbaneAustralia

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