Use Three-Point Estimates, PERT, and Monte Carlo-Style Schedule-Risk Methods
Risk, Uncertainty, and Decision Support
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.
Plan schedules, resources and critical sequencing connects with analyze schedule uncertainty and risk. Connect scheduling methods to real procurement, installation and operating constraints.