@inbook{64c20dc1d9084b7f9f569e7009f44e0a,
title = "Simulation-Optimisation-Based Decision Support System for Managing Airport Security Resources",
abstract = "Airport access mode disruptions have a significant impact on passenger arrival flow. Such events can lead to a wave of late outbound passengers, that can congest airport facilities such as check-in counters or security systems. In this context, efficient handling of airport resources is crucial to ensure passengers{\textquoteright} reliable door-to-door journeys and maintain a high airport Level-of Service. Through a simulation-optimisation-based decision support system, we investigate the relevance of a dynamic opening of fast security line facilities for delayed passengers. An optimisation model solved through simulated annealing is proposed to improve security resource handling at a tactical level. Airport{\textquoteright}s Level of Service is evaluated before and after optimisation through a microscopic passenger flow simulation model. The methodology is tested on a study case based on one of the terminal buildings of Mexico-City airport. Results indicate that using dedicated security lines for passengers in a hurry due to disruptions reduces the number of stranded passengers at the end of the day; out of the three scenarios evaluated the one that uses a dynamic management of resources provides the best results; however this task should be governed by a DSS that adapts to the particular case under study.",
keywords = "Airport, Optimisation, Simulation, Disruption Management",
author = "Geoffrey Scozzaro and \{Mujica Mota\}, Miguel and Daniel Delahaye and Catherine Mancel",
note = "{\textcopyright} 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG. ; 11th EUROSIM Congress 2023 ; Conference date: 03-07-2023 Through 05-07-2023",
year = "2024",
doi = "10.1007/978-3-031-68438-8\_11",
language = "English",
isbn = "9783031684371",
volume = "Part II",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "140--155",
editor = "\{Mujica Mota\}, \{Miguel \} and Scala, \{Paolo \}",
booktitle = "Simulation for a Sustainable Future",
address = "United States",
}