Analyse & Improve
Process Simulation
Monte Carlo simulation for data-backed process planning
Estimated savings: 12.3 min/cycle, +5% PCE
Estimated savings: 4.1 min/cycle, +2% PCE
Estimated savings: 1.8 min/cycle, +1% PCE
Overview
Process Simulation brings Monte Carlo methods to value stream mapping. Define variability ranges for cycle times, staffing levels, and demand volumes, then run thousands of simulated iterations to understand the probability distribution of your process outcomes. See confidence intervals for lead time, throughput, and resource utilisation. Model what happens when demand spikes, staff call in sick, or equipment fails. Make capacity planning and improvement decisions backed by statistical evidence rather than single-point estimates.
Why Process Simulation?
Three reasons teams choose this tool
Thousands of Scenarios
Run Monte Carlo simulations in seconds. Model more scenarios in a minute than you could test in a year.
Statistical Confidence
Confidence intervals at 50th, 75th, 90th, and 95th percentiles. Replace guesswork with probability.
Risk Made Visible
See what happens when demand spikes, staff call in sick, or equipment fails. Plan for reality, not best case.
How It Works
Get started in four steps
Set Variability Ranges
Define min, max, and distribution for cycle times, staffing, and demand volumes.
Run Simulations
The Monte Carlo engine runs thousands of iterations modelling your process under uncertainty.
Review Distributions
See confidence intervals for lead time, throughput, and resource utilisation.
Make Decisions
Compare configurations side by side. Plan capacity with statistical evidence.
Applications
Real-world use cases
Capacity planning for seasonal demand variation in manufacturing
Staffing optimisation for service delivery processes
Risk analysis for process changes before implementation
Building evidence-based business cases for resource investment
Capabilities
Everything included
Preview
See it in action
Analytics Dashboard
Value Stream Map
Current StateTemplate Library
Integration Marketplace
23 connectorsMonte Carlo Simulation
Team Workspace
Desktop Recording — 04:23
| Time | App | Action | Duration | Type |
|---|---|---|---|---|
| 0:00 | SAP | Open purchase order | 0:12 | VA |
| 0:12 | Excel | Update pricing sheet | 1:33 | VA |
| 1:45 | idle | Waiting for approval | 1:35 | NVA |
| 3:20 | Outlook | Send confirmation email | 0:45 | VA |
Smart Suggestions
The approval step at position 3 has a cycle time of 12.3 min with 67% wait time. Automating with rule-based approval could eliminate 80% of the wait.
Two consecutive inspection steps could be merged into a single quality gate, reducing handoff waste and duplicate setup time.
AI Analysis
CompleteReady to try Process Simulation?
Available on the Pro plan and above. Start with a free account and upgrade when you are ready.