TY - GEN
T1 - A Simulation-Optimization Approach to Improve the Allocation of Security Screening Resources in Airport Terminal Checkpoints
AU - Perez, Eduardo
AU - Taunton, Logan
AU - Sefair, Jorge A.
N1 - Funding Information:
The authors want to acknowledge the Oak Ridge Institute for Science and Education (ORISE) for providing the funding for this research through the U.S. Department of Homeland Security (DHS) Summer Research Team Program. In addition, the authors acknowledge the support provided by Ross Maciejewski and Beth White from the Center for Accelerating Operational Efficiency (CAOE), a DHS Center of Excellence led by Arizona State University. The material in this work is also based upon work supported by the U.S. Department of Homeland Security under Grant Award Number, 17STQAC00001-03-03. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U.S. Department of Homeland Security.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this research, a simulation based optimization strategy is developed to improve the operation of airport security screening checkpoints (SSCPs). The simulation based optimization strategy aims to improve any airport's SSCP operations by providing a flexible modeling approach to decide optimal checkpoint configurations and their corresponding workforce allocations. Simulation based optimization is a suitable technique for problems involving data uncertainties that evolve over time, requiring important system decisions to be made prior to observing the entire data stream. This is indeed the case in SSCPs, where the passenger arrival times are difficult to predict and requirements for equipment and human resources must be scheduled in advance. The team explicitly included the uncertainties associated with future passenger arrivals and availability and performance levels of the resources in computing staffing and system configuration decisions. The proposed simulation based optimization strategy provided a 31.4% improvement for the passengers' cycle time when compared to a benchmark scenario.
AB - In this research, a simulation based optimization strategy is developed to improve the operation of airport security screening checkpoints (SSCPs). The simulation based optimization strategy aims to improve any airport's SSCP operations by providing a flexible modeling approach to decide optimal checkpoint configurations and their corresponding workforce allocations. Simulation based optimization is a suitable technique for problems involving data uncertainties that evolve over time, requiring important system decisions to be made prior to observing the entire data stream. This is indeed the case in SSCPs, where the passenger arrival times are difficult to predict and requirements for equipment and human resources must be scheduled in advance. The team explicitly included the uncertainties associated with future passenger arrivals and availability and performance levels of the resources in computing staffing and system configuration decisions. The proposed simulation based optimization strategy provided a 31.4% improvement for the passengers' cycle time when compared to a benchmark scenario.
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U2 - 10.1109/WSC52266.2021.9715421
DO - 10.1109/WSC52266.2021.9715421
M3 - Conference contribution
AN - SCOPUS:85126151520
T3 - Proceedings - Winter Simulation Conference
BT - 2021 Winter Simulation Conference, WSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Winter Simulation Conference, WSC 2021
Y2 - 12 December 2021 through 15 December 2021
ER -