Process Simulation

Intro

Process simulation uses a model-based representation to test hypothetical scenarios and analyze how processes may operate when deployed. It supports design, development, analysis, and optimization.

Key points:

• Predicts performance under different conditions.
• Reduces risk before implementation.
• Common use cases across EA/BPM/Data/App/Tech include capacity planning, what‑if analysis, and cost/time optimization.
• Pitfall: relying on simulations with poor or outdated input data.

Examples:

• Simulating staffing levels for service desks.
• Testing new routing rules to reduce cycle time.
• Evaluating impact of system latency on process throughput.

In practice:

Calibrate models with real data and validate results with stakeholders before changes.

Related terms: Process Modeling; BPMN; Key Performance Indicator

FAQs:

Q: Is simulation the same as execution?
A: No; it models behavior without running the live process.

Q: What inputs matter most?
A: Arrival rates, service times, routing rules, and resource constraints.

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