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- Monte Carlo simulation in schedule risk analysis involves assigning three-point estimates (optimistic, most likely, pessimistic) or probability distributions to activity durations and running thousands of simulations with random sampling. The result is a probability distribution of project completion dates and milestone dates, showing confidence levels (e.g., 'P80 completion date = June 15'). This is far more informative than a single deterministic date.