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What is ProcessMind? Explore Key Features of ProcessMind What is needed to run ProcessMind?
Create your account ProcessMind onboarding Create, upload or generate your process model How to Upload Your Dataset Build Your Process Model manually
What is BPMN 2.0? BPMN Diagram Construction Guide How to Import and Export BPMN Files
Events Start Event End Event Intermediate Event Activities Additional Activity Types BPMN Gateways Connecting Objects Pools and Swimlanes Artifacts
Where to Source and Structure Data for Process Mining Supported Data Formats for Event Logs 7 Common Process Mining Data Challenges Configuring Your Dataset Dataset Attributes Dataset Activities Dataset Data Data Cleaning and Preparation for Process Mining Extracting Data from SAP for Purchase-to-Pay (P2P)
Data Mapping Overview Mapping datasets Mapping / Unmapping activities
Process Charts Process Filters Metrics Expressions Visual Simulation for Better Process Understanding Customizing Dashboards Markdown Notation Process Bookmarks
What is Process Simulation? Running a Simulation What-If Analysis with Simulation How the Simulation Engine Works Statistical Distributions Periodicity and Time-Varying Parameters Resources and Capacity Planning Simulation Interface Reference
Organization Settings Environments (Tenants) Themes / White labeling Billing and Payments Single-Sign-On (SSO) with ProcessMind
The Importance of Continuous Improvement Lean Six Sigma / DMAIC
FAQ Troubleshooting Clipboard Access for Copy-Paste Functionality Troubleshooting Data Issues
Data Management Guide for Optimal Insights Best Practices for BPMN 2.0 Modeling in ProcessMind How to Optimize Performance in ProcessMind
API Overview API Keys API Reference: Organizations API Reference: Tenants API Reference: Data API Reference: Processes
Example Process Mining Event Logs Template Event Log Files Example BPMN Files
Roadmap 2026-2027 ProcessMind 2025.12 ProcessMind 2025.10 ProcessMind 2025.09 ProcessMind 2025.07 ProcessMind 2025.04 ProcessMind 2025.01
Download the BPMN 2.0 Poster in your language Supported BPMN Elements in ProcessMind Overcoming Process Mining Challenges What is needed to run Process Mining? Glossary of Terms
ProcessMind Brochures ProcessMind Presentation Logos and Brand Assets ProcessMind Product Screenshots and Visuals Videos and Demos
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Process Simulation

Process Simulation

How It Works

ProcessMind’s simulation engine runs your BPMN process model with configurable parameters—arrival rates, processing times, resource capacities, and more. It generates an event log 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

Getting Started

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.

Deep Dives

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.

Related Documentation

What is Process Simulation?
Understand process simulation and how it enables you to look forward, predict outcomes, and test changes before implementing them.
Running a Simulation
Learn how to configure and run process simulations in ProcessMind.
What-If Analysis with Simulation
Use simulation for what-if analysis: compare scenarios, test changes, and validate improvements before implementation.
How the Simulation Engine Works
Understand the mechanics behind ProcessMind's discrete event simulation engine and how it models your process.
Statistical Distributions
Statistical distributions for modeling variation in processing times, arrival rates, and other simulation parameters.

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