Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Optimization Model of Airport Security Screening

Authors
Ying Wei
Corresponding Author
Ying Wei
Available Online April 2017.
DOI
10.2991/emim-17.2017.214How to use a DOI?
Keywords
Airport Security; Passenger throughput; Multi-server queuing model
Abstract

Airport security is a necessary link for passengers to enter the airport. In this paper, we established a multi-server queuing model to optimize the airport security screening. Concretely, the whole queue process of security screening is decomposed into some parts. For each part, we established a multi-server queuing model, and used the number of passengers in the queuing system and the service intensity to evaluate the model. By utilizing the collected data, we identify the bottlenecks that are mainly caused by the number of open lanes and the service rate of a staffing.

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 Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.214How 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  - Ying Wei
PY  - 2017/04
DA  - 2017/04
TI  - Optimization Model of Airport Security Screening
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1068
EP  - 1071
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.214
DO  - 10.2991/emim-17.2017.214
ID  - Wei2017/04
ER  -