Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

Airport Security Process Analysis

Authors
Meizhi Yiyang
Corresponding Author
Meizhi Yiyang
Available Online October 2017.
DOI
10.2991/meici-17.2017.153How to use a DOI?
Keywords
Security checkpoint; Service Model Simulation; Monte Carlo algorithm
Abstract

At present most of the airport security cost a very long time. To relieve the tension between security maximization and positive flying experience, we describe the current security checking process by analyzing the time distribution of each step. We ignore those delay caused by happenstance to simplify the problem solving, and make several assumption to fill up the lack of the given data, so that we can apply Service Model Simulation to achieve a visual representation of the security checkpoint process and identify the bottlenecks further by means of Monte Carlo algorithm. By additional analysis, we find the bottlenecks of current security checkpoint are the skill level of TSA staff and the time spent by passengers in preparing belongings to be X-rayed.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
978-94-6252-412-5
ISSN
1951-6851
DOI
10.2991/meici-17.2017.153How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Meizhi Yiyang
PY  - 2017/10
DA  - 2017/10
TI  - Airport Security Process Analysis
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 768
EP  - 774
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.153
DO  - 10.2991/meici-17.2017.153
ID  - Yiyang2017/10
ER  -