TY - JOUR
T1 - SimuBridge
T2 - Dissertation Award, Doctoral Consortium, and Demonstration and Resources Forum at the 21st International Conference on Business Process Management, BPM-D 2023
AU - Bein, Leon
AU - Klessascheck, Finn
AU - Nepeina, Sviatlana
AU - Warmuth, Christian
AU - Kampik, Timotheus
AU - Pufahl, Luise
N1 - Publisher Copyright:
© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Business Process Simulation
KW - Human-in-the-loop
KW - Parameter
KW - Process Mining
UR - http://www.scopus.com/inward/record.url?scp=85172028207&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85172028207
SN - 1613-0073
VL - 3469
SP - 77
EP - 81
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 11 September 2023 through 15 September 2023
ER -