Risk analysis
0:51Occurrence probability, impact, P90 and sensitivity.
Monte Carlo simulation for project risks, costs and schedules
Two workspaces: analyse the combined impact of risks or simulate the duration and direct cost of an activity plan. Enter or import your data, run Monte Carlo and explore the results. No code required.
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Two short demos, from model inputs to simulation results.
Occurrence probability, impact, P90 and sensitivity.
Activities, dependencies, duration, direct cost and sampled Gantt charts.
Model each risk’s probability and impact. Explore total impact, percentiles and sensitivity.
Simulate activities with dependencies and duration and direct-cost estimates. Examine distributions, Gantt charts and criticality.
Histograms, S-curves and percentile analysis to communicate risks clearly.
Keep each simulation’s inputs and results. Group runs in a project and compare compatible results.
Explore different coverage levels for risk impact to assess a reserve.
Explore possible plan durations and direct costs, and which activities become critical.
Compare compatible simulations within a project to examine changes to the model.
Monte Carlo simulation for project risks, costs and schedules
Free material for project management teachers and students. Use it in class and adapt it freely with attribution.
How a Monte Carlo simulation of project risks works, iteration by iteration: probability, PERT distribution, histogram, P50 and P80.
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