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

Research on Identifying the Bottleneck of the Airport Security Inspection System Based on the Petri Net

Authors
DongXu Chen
Corresponding Author
DongXu Chen
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.305How to use a DOI?
Keywords
Bottleneck, Petri Net, Markov Chain, Throughput
Abstract

The airport security inspection network model based on the Petri Net is established to identify the bottleneck of the airport security inspection system. A reach ability graph is set up to represent the process of the security inspection. We can get an isomorphic Markov Chain by simplifying the reach ability graph. Thus, the number of the token of each place is calculated by using the given data. As a result, the bottleneck is identified. We also calculated the throughput of each checkpoint by using the given data, the bottleneck is also identified. The bottlenecks found in the two ways are the same, showing that the model's accuracy is qualified.

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-17.2017.305
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.305How 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  - DongXu Chen
PY  - 2017/04
DA  - 2017/04
TI  - Research on Identifying the Bottleneck of the Airport Security Inspection System Based on the Petri Net
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1620
EP  - 1623
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.305
DO  - 10.2991/icmmct-17.2017.305
ID  - Chen2017/04
ER  -