CAP-0045 · Engineering practice

Use Three-Point Estimates, PERT, and Monte Carlo-Style Schedule-Risk Methods

Risk, Uncertainty, and Decision Support

Conceptual engineering illustration: risk reliability
Conceptual engineering visualization · AI generated

Analytical Methods & Quantitative Decision Support · Risk, uncertainty, and decision support

Analytical Methods & Quantitative Decision Support

Probability, expected value, variance and covariance help describe uncertain demand, failures and schedule exposure. Event-arrival models, state-transition models and queueing relationships connect operating variability with staffing, availability, cycle time and work in process. Scenario analysis makes the consequences of assumptions visible before a commitment is made.

The Subject

Risk, Uncertainty, and Decision Support

Explore the Activities

Schedule uncertainty is relevant to the cited schedules. A completed Monte Carlo or PERT analysis is not asserted.

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