Schedule risk analysis evaluates how individual task uncertainties, dependencies, and resource constraints combine to affect overall project duration. Techniques include PERT analysis, Monte Carlo simulation, and critical chain methodology to generate probabilistic completion forecasts rather than single-point estimates. Analysis identifies schedule drivers and informs contingency planning. For instance, a construction project team uses Monte Carlo simulation incorporating weather delays, material delivery uncertainties, and labor productivity variations to determine an 80% confidence completion date for stakeholder commitments.