SimuBridge: Discovery and Management of Process Simulation Scenarios

Leon Bein, Finn Klessascheck, Sviatlana Nepeina, Christian Warmuth, Timotheus Kampik, Luise Pufahl

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Business process simulation enables testing and improving redesigned versions of business processes in a secure environment. By utilizing process simulators, the effects (e.g., the resource utilization) of process changes can be studied prior to real-world implementation. With the growing availability of process execution data, techniques have emerged to extract process simulation models from event logs. This enables a faster, more evidence-driven approach instead of manually creating simulation models. However, event logs may contain noise and lack specific information, such as resource availability, for a comprehensive simulation model. This demo presents a parameterization tool for simulation models that allows users to improve discovered models by human input or external data and develop different redesign scenarios - a user-friendly interface between existing discovery techniques and process simulators.

Original languageEnglish
Pages (from-to)77-81
Number of pages5
JournalCEUR Workshop Proceedings
Volume3469
StatePublished - 2023
EventDissertation Award, Doctoral Consortium, and Demonstration and Resources Forum at the 21st International Conference on Business Process Management, BPM-D 2023 - Utrecht, Netherlands
Duration: 11 Sep 202315 Sep 2023

Keywords

  • Business Process Simulation
  • Human-in-the-loop
  • Parameter
  • Process Mining

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