Optimizing the Passenger Throughput at an Airport Security Checkpoint
- 10.2991/mmetss-17.2017.1How to use a DOI?
- Queuing theory; Jackson network; CA model
The tension between desires to maximize security while minimizing inconvenience to passengers at the airport security checkpoint has increased during few year time. The purpose of this paper is to construct a model to detect the bottlenecks hidden in the current system hence ease the tension by improving our model. First we focus on simulating the system. We divide the process into two main sections and take them into consideration separately. We then build two models in regard to their characteristics: the first one is based on the queuing theory, while the second one is based on the Jackson network theorem considering the second section does not fit the condition of reversible Markov chain process. Afterwards, we analyze the given data in the model. It is followed by the hidden bottlenecks in the system exposing themselves. Noticing the bottlenecks, we aim at optimizing and improving the current model to reduce the waiting time in the next step. The time varying model has provided us an insight into allocating the resources in accordance to time. Moreover, we reduce the variance of waiting time by 90 percent by applying the control varieties method. Next, we focus on analyzing how social norms impact our model using the cellular automaton model. Then we make some modification to optimize the throughput and minimize the variance. Last, we give some recommendation to the manager based on the results of our model. To sum up, our model is an integral and adaptable model that is suitable for further assessment.
- © 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 - Youyou Xie PY - 2017/07 DA - 2017/07 TI - Optimizing the Passenger Throughput at an Airport Security Checkpoint BT - Proceedings of the 2017 2nd International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2017) PB - Atlantis Press SP - 1 EP - 9 SN - 2352-5398 UR - https://doi.org/10.2991/mmetss-17.2017.1 DO - 10.2991/mmetss-17.2017.1 ID - Xie2017/07 ER -