This extended case study describes a cost and schedule risk analysis for a multi-billion dollar resources project. It illustrates:
• Structures for quantitative modelling of cost and schedule, incorporating drivers of uncertainty in quantities, rates and productivities
• Deriving input data for the models to minimise estimating biases
• Integrating cost and schedule uncertainty
• Sensitivity analysis for better understanding of the effects of uncertainty and the allocation of contingency amounts
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