Monte Carlo Simulator
Estimate project delivery dates using statistical simulation. Analyze uncertainty and provide realistic timelines for complex projects.
Simulation Configuration
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About Monte Carlo Simulation
What is Monte Carlo Simulation?
Monte Carlo simulation is a mathematical technique that uses random sampling to obtain numerical results. It's particularly useful for estimating project timelines when there's uncertainty in individual task estimates.
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How it works
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- 1. For each task, generate random values within the estimated range
- 2. Sum all task durations to get total project duration
- 3. Repeat thousands of times to build a distribution
- 4. Analyze the distribution to find percentiles and probabilities
Benefits
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Use Cases
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Tips for Better Estimates
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