A schedule-only Monte Carlo simulation: it samples each activity's duration between optimistic and pessimistic bounds, runs the logic network thousands of times, and reports finish-date confidence.
Per-activity - % and + % durations, or project-wide defaults.
Choose the sampling distribution and 1k-10k iterations.
The spread of simulated project finish dates.
A cumulative confidence S-curve with P-markers and the base-finish marker.
How often each activity drives the project finish.
The share of runs finishing on or before the deterministic finish.
Schedule Pro