Simulation
Scheduling Terms
Reviewed by forProject Technology - updated Sep 2026
Quick definition: Simulation is a technique that uses random numbers and probability -- most commonly Monte Carlo simulation -- to test how uncertainty affects a schedule's reliability.
In a Monte Carlo schedule simulation, individual task durations are randomly generated from probability distributions many times over, and the combined effect is calculated across the whole network schedule. The results are typically shown as probability distributions around likely finish dates, producing confidence intervals rather than a single fixed date.
Why it matters
A single-point schedule date hides how much uncertainty is baked into the plan; simulation shows a realistic range of possible outcomes, so a team can plan around a confidence level rather than a false sense of precision.
Also known as
Monte Carlo Simulation
Used in
Schedule Risk Assessment
See also
FAQ
What is Monte Carlo simulation used for in scheduling?
It's used to model how random variation in task durations affects the overall schedule, producing probability-based confidence levels for finish dates rather than one fixed date.
Does simulation replace the critical path method?
No -- it builds on the network schedule, often the same one used for critical path analysis, to add a probabilistic view of risk on top of the deterministic critical path calculation.
Definition maintained by forProject Technology.
© 2026 forProject Technology, Inc.
© 2026 forProject Technology, Inc.
