Modelling Operational Risk in Airport Scheduling

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This project addresses interconnected disruptions in scheduling, exposing limitations of current models. It introduces a framework using Copula and Monte Carlo methods to process inputs affecting scheduling and generate risk metrics. Validation through stress testing reveals key sensitivities such as distance and fuel, contributing to improved scheduling decisions.