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

Bottlenecks Identification–Airport Security Checkpoint Process Optimization based on the GSPN theory

Authors
Qingxiang Hu
Corresponding Author
Qingxiang Hu
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.53How to use a DOI?
Keywords
airport security checkpoint, GSPN theory, bottlenecks identification
Abstract

Customers satisfaction degree is critical to airlines. Therefore, it is significant for airlines to provide a positive flying experience for passengers by minimizing the time they spend waiting in line at an airport security checkpoint. The key of this problem is to identify the bottlenecks of the airport security process. Based on the Generalized Stochastic Petri Net (GSPN) theory, this article build the bottlenecks identification model to achieve this goal.

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-17.2017.53
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.53How 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  - Qingxiang Hu
PY  - 2017/04
DA  - 2017/04
TI  - Bottlenecks Identification–Airport Security Checkpoint Process Optimization based on the GSPN theory
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 264
EP  - 267
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.53
DO  - 10.2991/icmmct-17.2017.53
ID  - Hu2017/04
ER  -