Optimising Airport Security: Biometric Sorting by Departure Time

This study adapts to post-pandemic airport operations, focusing on optimizing security through biometric sorting by departure time. It aims to understand dynamic passenger processes in future airport terminals influenced by demand and supply pressures. Conducted using Simio simulation, the research leverages key variables and real-time data from the Official Airline Guide (OAG) to enhance passenger processing. The model, based on Melbourne Airport, demonstrates that systematic security design can significantly improve efficiency, reduce wait times, and enhance customer satisfaction. Findings suggest that airport operators should implement biometric sorting by departure time to optimize security measures.