How is process simulation different from process mining?

Process mining analyzes historical data to understand what already happened. Simulation looks forward: it exports simulation results as a data table so you can test what-if scenarios and predict outcomes before making changes.

Any BPMN process model. Change staffing, arrival rates, processing times, or demand, and see how throughput, bottlenecks, and waiting times respond.

Can I compare several scenarios?

Yes. What-if analysis lets you change parameters such as staffing or demand and compare the outcomes, so you can see which change pays off before committing to it.

Where do I configure processing times and arrivals?

Processing times use probability distributions, and arrival and demand patterns use periodicity rules. The distributions, periodicity, and resources references explain every parameter.

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Process Simulation

Q: What is process simulation?

Process simulation runs your BPMN process model with configurable parameters (arrival rates, processing times, and resource capacities) to predict how the process will behave under different conditions.

Q: Which plan includes process simulation?

Process simulation is available with a Process Intelligence seat or higher.

Available with a Process Intelligence Process Intelligence Available with a Process Intelligence seat or higher. Only seats on this plan or a higher one can use this feature. Compare plans seat or higher

The simulation guides cover how to predict what your processes will do next: set up a simulation, run what-if scenarios, and interpret the results. They are written for process analysts, improvement teams, and anyone who wants to test a change before making it. Simulation is available with a Process Intelligence seat or higher.

How It Works

ProcessMind’s simulation engine runs your BPMN process model with configurable parameters: arrival rates, processing times, resource capacities, and more. You can export simulation results as a data table in the same format as real process data, which means you can analyze simulated data using all the same ProcessMind features you use for actual process data.

Why Simulate?

Test before implementing: Validate process changes without real-world risk
Predict bottlenecks: See where problems will occur before they happen
Plan capacity: Determine staffing and resource requirements
Compare scenarios: Evaluate alternatives side-by-side

Where to Start

What is Simulation?

Introduction to process simulation concepts and how simulation connects to process mining.

Running Simulations

Step-by-step guide to configuring and running your first simulation.

What-If Analysis

Learn how to compare scenarios and test process changes before implementation.

AI-Assisted Setup

AI-Assisted Simulation

Generate simulation parameters with AI from your model, or derive them from your actual process data.

Simulation Engine

How the Simulation Engine Works

Understand the discrete event simulation engine behind ProcessMind.

Reference Documentation

Statistical Distributions

Complete guide to distribution types for modeling process variation.

Periodicity

Configure time-varying parameters for realistic business hour modeling.

Resources & Capacity

Model resource constraints, queuing, and capacity planning.

Interface Reference

Complete reference for all simulation settings and controls.

To compare the simulation against what already happened, see Process Mining. The Intelligence path covers mining, process health, and simulation together.

Frequently asked questions

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