Process Simulation
Process Simulation allows you to quantify the impact of potential changes before they are implemented. By creating a virtual environment to test "what-if" scenarios, organizations can avoid costly mistakes—such as removing a bottleneck in one stage only to inadvertently create a larger one downstream.
The simulation journey follows a three-step cycle to move from your current reality to a validated future state:
Digital twin extraction: First, you extract a "Digital Twin" in Studio based on your actual process data. This isn't just a map; it is a BPMN model enriched with real-world statistics, including:
Arrival rates: How and when new cases enter the system.
Resource dynamics: The actual capacity and behavior of the people/systems involved.
Activity metadata: Real processing times and automation rates.
Branching logic: The mathematical probability of a case following a specific path.
Scenario simulation: Using the Digital Twin as a baseline, you create one or more "Scenarios" in the Simulation Dashboard. Here, you adjust variables—such as automating a manual task or changing resource shifts—and "run" the process for a set duration to see how those changes play out.
Results and comparison: The final view compares the KPIs of your hypothetical scenarios against the Digital Twin baseline. This side-by-side analysis allows you to generate reports that justify process investments with data-backed ROI.