Abstract
In this study, we present a discrete-event simulation model and analysis for optimizing international passenger throughput at Customs and Border Protection (CBP) federal inspection service (FIS) areas operating at U.S. airports. The study investigates the advantages and disadvantages of the baggage-first model that is now considered by several airports as a result of growing adoption of automated passport control (APC) kiosks and other CBP technology initiatives. The study analyzes configuration options that can be deployed to optimize staffing and passenger routing decisions with the objective of minimizing overall sojourn times for arriving passengers and queue lengths at FIS locations. The results of the study are contrasted against the optimal kiosk-first setting. The proposed model is tailored and applied for the design of a new FIS facility being built for the Fort Lauderdale-Hollywood (FLL) International Airport The projected increase in passenger volume over the next ten years is incorporated into the proposed model. We discuss the advantages and disadvantages of the baggage-first setting based on the results of the simulation study. Overall, the study shows that the baggage-first setting is a viable alternative in designing FIS layouts for airports that fully automate their passport control processes.
Original language | English (US) |
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Title of host publication | 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 |
Publisher | Institute of Industrial Engineers |
Pages | 103-108 |
Number of pages | 6 |
ISBN (Electronic) | 9780983762461 |
State | Published - 2017 |
Event | 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 - Pittsburgh, United States Duration: May 20 2017 → May 23 2017 |
Other
Other | 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 |
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Country | United States |
City | Pittsburgh |
Period | 5/20/17 → 5/23/17 |
Keywords
- Airport terminal
- Decision support system
- Discrete event simulation
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering