Modeling and Optimization of Security Screening Resources in Airport Terminal Checkpoints
Allocating security screening resources in airport terminal checkpoints is a critical task that directly affects airport operations’ efficiency and effectiveness. Passengers may experience long wait times and inefficient use of resources due to the traditional manual allocation approach. Due to the complex and dynamic nature of passenger flows and security risks, traditional allocation methods may not be optimal. In this thesis, a simulation-based optimization approach for improving the allocation of security screening resources in airport terminal checkpoints is developed. The goal of the methodology is to minimize passenger waiting time and guarantee a satisfactory level of safety screenings. Simulation-based optimization can be a valuable tool for airport operators to optimize resource allocation and make informed decisions in checkpoint operations, as suggested by the results. The research is divided into two main chapters, with the first chapter focusing on the development of the simulation model and the second chapter focusing on optimization techniques. In the simulation chapter, we develop a comprehensive model of the airport terminal checkpoint system using discrete event simulation. This model captures the flow of passengers, security screening processes, and analyzes resource utilization within the checkpoint environment. By simulating various scenarios and adjusting key parameters, we evaluate the performance of the current resource allocation strategy and identify areas for improvement. Building upon the insights gained from the simulation chapter, the optimization chapter aims to enhance the allocation of security screening resources by employing advanced optimization techniques. We formulate the resource allocation problem as an optimization model and leverage mathematical programming approaches to find optimal or near-optimal solutions. The objective is to minimize passenger waiting times, reduce resource idle time, and maximize overall system efficiency. By combining simulation and optimization, our approach provides a comprehensive framework for improving security screening resource allocation in airport terminal checkpoints. The findings of this research have the potential to enhance security measures while simultaneously improving passenger experience and operational efficiency. Furthermore, the proposed approach can serve as a valuable decision support tool for airport authorities and security agencies in their efforts to optimize resource allocation in dynamic and complex checkpoint environments.
simulation, optimization, Monte Carlo simulation, discrete event simulation, Engineering
Subramanian, P. (2023). Modeling and optimization of security screening resources in airport terminal checkpoints (Unpublished thesis). Texas State University, San Marcos, Texas.