Automated generation of process simulation scenarios from declarative control-flow changes
Daniel Barón-Espitia,
Marlon Dumas,
Oscar González-Rojas
Abstract:Business process simulation is an established approach to estimate the potential impact of hypothetical changes on a process, particularly in terms of time and cost-related performance measures. To overcome the complexity associated with manually specifying and fine-tuning simulation models, data-driven simulation (DDS) methods enable users to discover accurate business process simulation models from event logs. However, in the pursuit of accuracy, DDS methods often generate overly complex models. This complex… Show more
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