Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

The Scheme to Optimize the Throughput of the Inspection System

Authors
Haoran Sun
Corresponding Author
Haoran Sun
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.308How to use a DOI?
Keywords
Airport Security Check, Process Optimization, Monte Carlo Simulation
Abstract

In this paper, we study a scheme to optimize the throughput of the inspection system. Firstly, the checkpoint sequence model based on control sequence is established, which serves as the basis of the latter model. Secondly, the channel quantity optimization model based on queuing theory is established to optimize the throughput of the inspection system. A series of equations are set up to explore the flow of passengers through a security checkpoint. Next, Monte Carlo algorithm is used to simulate queuing process. An optimization function is established with the aim of minimizing the total cost which contains the waiting cost and the security inspection cost.

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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.308
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.308How 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  - Haoran Sun
PY  - 2017/04
DA  - 2017/04
TI  - The Scheme to Optimize the Throughput of the Inspection System
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1633
EP  - 1636
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.308
DO  - 10.2991/icmmct-17.2017.308
ID  - Sun2017/04
ER  -