Abstract

The design of airport queuing networks is a significant research field currently for researchers. Many factors must to be considered in order to achieve the optimized strategies, including the passenger flow volume, boarding time, and boarding order of passengers. Optimizing these factors lead to the sustainable development of the queuing network, which currently faces a few difficulties. In particular, the high variance in checkpoint lines can be extremely costly to passengers as they arrive unduly early or possibly miss their scheduled flights. In this article, the Monte Carlo method is used to design the queuing network so as to achieve sustainable development. Thereafter, a network diagram is used to determine the critical working point, and design a structurally and functionally sustainable network. Finally, a case study for a sustainable queuing-network design in the airport is conducted to verify the efficiency of the proposed model. Specifically, three sustainable queuing-network design solutions are proposed, all of which not only maintain the same standards of security, but also increase checkpoint throughput and reduce passenger waiting time variance.

Highlights

  • With the rapid growth of the population and economy, the queuing networks of airports and stations are of great importance and require urgent optimization

  • The main purpose of this study is to create a sustainable queuing network model based on the Monte Carlo method and analyze the security process of airports

  • Through a sustainable queuing-network design for the airport security process based on the Monte Carlo method, the model fully considers applicability and fault to solve the identified problems so that the average waiting time spent through the airport security process is reduced by 51.1–72.9%, and the variance of passenger queuing time is effectively reduced by 33.2–82.4%

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Summary

Introduction

With the rapid growth of the population and economy, the queuing networks of airports and stations are of great importance and require urgent optimization. The complex situations in airport security make the process more challenging because of the following: (1) Network chaos, such as congestion due to insufficient network capacity, delays in boarding because of inadequate sequencing, and repeated confusion in security operations; (2) Consequential outcomes, such as incurred higher costs by passengers and businesses, longer waiting time and unfriendly atmosphere of the queuing network, and increased accidents because of unorganized queuing personnel. These problems and contradictions are incompatible with today’s sustainable economy and the concept of sustainable development.

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