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What is Process Simulation?

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Understanding Process Simulation

Process simulation allows you to model and execute your business processes virtually. Unlike process mining, which analyzes what has already happened, simulation lets you look forward and predict what will happen under different conditions. You can run a simulation on your own process with a free trial.

ProcessMind simulated result compared with historical data

Looking Forward vs. Looking Backward

In process intelligence, there are two fundamental approaches:

Approach Method Question Answered
Process Mining Analyzes historical event logs “What happened?”
Process Simulation Runs virtual process executions “What will happen?”

Think of process mining as a rearview mirror: it shows you where you’ve been. Process simulation is like a GPS with traffic prediction: it shows you what lies ahead and helps you choose the best route.

Why Simulate Your Processes?

1. Test Changes Before Implementation

Before making costly changes to your real processes, you can simulate the impact:

  • What if you add more staff to the approval step?
  • What if you automate a manual task?
  • What if customer demand increases by 50%?

2. Identify Bottlenecks Proactively

Simulation reveals where bottlenecks will occur before they actually happen:

  • Which activities will become overloaded?
  • Where will cases queue up and wait?
  • Which resources will be over- or underused?

3. Optimize Resource Allocation

Determine the optimal number of resources:

  • How many staff do you need during peak hours?
  • Can you reduce capacity during off-peak periods?
  • What’s the cost-benefit of adding additional resources?

4. Validate Process Redesigns

When you design a new “To-Be” process, simulation helps validate your design:

  • Will the new process actually perform better?
  • Are there unintended consequences?
  • Does the design meet the performance requirements?

How Simulation Connects to Process Mining

ProcessMind integrates simulation with process mining in a continuous cycle:

  1. Mine your historical process data to understand current performance
  2. Design process improvements based on insights
  3. Simulate the proposed changes to predict outcomes
  4. Compare simulated results with actual data
  5. Implement changes with confidence
  6. Mine again to verify the improvements

Simulation Output: A Data Table

When you run a simulation in ProcessMind, you can export the results as a data table, like the data you would upload for process mining. The data table contains:

  • Case IDs: Unique identifiers for each simulated process instance
  • Activities: The steps each case went through
  • Timestamps: When each activity started and completed
  • Attributes: Any custom data you’ve defined

Because the simulation output has the same structure as real process mining data, you can:

  • Apply all the same analysis tools and dashboards
  • Compare simulated data directly with actual historical data
  • Use filters, statistics, and visualizations identically

Same Format, Same Analysis

The simulation generates data in the same format as your real process data. This means you can use all of ProcessMind’s process mining capabilities to analyze simulation results: no additional learning required.

Key Simulation Concepts

To effectively use simulation, you’ll need to understand a few key concepts:

Concept Description Learn More
Distributions How values (like processing times or case arrivals) vary according to statistical patterns Distributions
Periodicity How simulation parameters change based on time: different rules for weekdays vs weekends, peak hours vs off-hours Periodicity
Resources Constraints on how many activities can happen simultaneously, such as staff availability or system capacity Resources

Generate a Custom BPMN Model

Model first, simulate next

Describe your process and the AI generates the BPMN model that your simulation will run on.

Getting Started with Simulation

Ready to start simulating? Here’s your path forward:

How to Run a Simulation
Step-by-step guide to configuring and running your first simulation in ProcessMind.
What-If Analysis
Learn how to compare scenarios, test changes, and make data-driven decisions using simulation.
Simulation Interface Reference
Complete reference for all simulation settings, options, and controls in the ProcessMind interface.

Frequently asked questions

Process simulation lets you model and execute your business process virtually to predict what will happen under different conditions, before you commit resources to a change.

Process mining analyzes what has already happened using event logs. Simulation looks forward and predicts what will happen, letting you test staffing, SLA, and policy changes risk-free.

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