The Li-Xiong Queuing Framework: Dynamic Reliability Optimization for Multi-Tier Border Control Systems

Authors

  • Zhe Li City University of Macau
  • Wenze Xiong University of Auckland

DOI:

https://doi.org/10.62177/apemr.v2i6.927

Keywords:

Li–Xiong Model, Dynamic Queuing Model, Border Control Optimization, Equipment Reliability Degradation, Resource Allocation

Abstract

As the volume of passengers passing through border checkpoints continues to increase at this stage, the traditional M/M/c model has shown certain limitations in both capacity and accuracy within port scenarios. To address this issue, Li Zhe and Xiong Wenze (the authors of this paper) developed a Multi-level Dynamic Reliability Queuing Model, also referred to as the Li–Xiong Model (MDRQM). This model enhances prediction accuracy through three core improvements: the implementation of a phased passenger flow guidance mechanism, real-time optimization of resource allocation, and the incorporation of equipment operational status correction parameters. The proposed model introduces a tiered service intensity factor and a nonlinear degradation response function, which together form a comprehensive mathematical framework and establish a new analytical structure. Field validation at the Zhuhai Port demonstrated that the new model reduces the prediction error of waiting times from 32.1% (using traditional methods) to 11.4%, thereby providing more accurate decision-making support for passenger flow management during peak periods.

Downloads

Download data is not yet available.

References

Gross, D., Shortle, J. F., Thompson, J. M., & Harris, C. M. (2011). Fundamentals of queueing theory (Vol. 627). John Wiley & Sons.

Erlang, A. K. (1909). The theory of probabilities and telephone conversations. Nyt Tidsskrift for Matematik, 20(B), 33–39.

Kleinrock, L. (1975). Queueing systems, Volume 1: Theory. Wiley.

Medhi, J. (2002). Stochastic models in queueing theory (2nd ed.). Academic Press.

Ghanbari, E., Soghrati Ghasbe, S., Aghsami, A., & Jolai, F. (2022). A novel mathematical optimization model for a preemptive multi-priority M/M/C queueing system of emergency department’s patients, a real case study in Iran. IISE Transactions on Healthcare Systems Engineering, 12(4), 305–321. https://doi.org/10.1080/24725579.2022.2083730

Itoh, E., & Mitici, M. (2019). Queue-based modeling of the aircraft arrival process at a single airport. Aerospace, 6(10), 103. https://doi.org/10.3390/aerospace6100103

Al-Jumaily, A. S. A., & Al-Jobori, H. K. T. (2011). Automatic queuing model for banking applications. International Journal of Advanced Computer Science and Applications, 2(7). https://doi.org/10.14569/IJACSA.2011.020709

Wang, C., Ye, Z., Fricker, J. D., Zhang, Y., & Ukkusuri, S. V. (2018). Bus capacity estimation using stochastic queuing models for isolated bus stops in China. Transportation Research Record, 2672(8), 108–120. https://doi.org/10.1177/0361198118777358

Li, J., Zhang, Y., Cheng, S., Luo, Q., & Dang, W. (2023). A choice model of security check channel for airline passengers considering heterogeneity in airport terminal. Physica A: Statistical Mechanics and its Applications, 624, 128930. https://doi.org/10.1016/j.physa.2023.128930

Gatersleben, M. R., & Van der Weij, S. W. (1999). Analysis and simulation of passenger flows in an airport terminal. In Proceedings of the 31st Conference on Winter Simulation: Simulation—a bridge to the future (Vol. 2, pp. 1226–1231). IEEE.

George-Williams, H., & Patelli, E. (2016). A hybrid load flow and event driven simulation approach to multi-state system reliability evaluation. Reliability Engineering & System Safety, 152, 351–367. https://doi.org/10.1016/j.ress.2016.01.019

Li, W., Gu, D., & Zhang, H. (2018). Markov/CCMT dynamic reliability analysis of the main and startup feedwater control system in nuclear power plant. Journal of Nuclear Engineering and Radiation Science, 4(4), 041011. https://doi.org/10.1115/1.4039302

Rausand, M., & Hoyland, A. (2003). System reliability theory: Models, statistical methods, and applications (Vol. 396). John Wiley & Sons.

Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483–1510. https://doi.org/10.1016/j.ymssp.2005.09.004

Zonta, T., da Costa, C. A., Righi, R. D. R., de Lima, M. J., da Trindade, E. S., & Li, G. P. (2020). Predictive maintenance in the Industry 4.0: A systematic literature review. Computers & Industrial Engineering, 150, 106889. https://doi.org/10.1016/j.cie.2020.106889

Ashour, O. M., & Okudan Kremer, G. E. (2016). Dynamic patient grouping and prioritization: A new approach to emergency department flow improvement. Health Care Management Science, 19(2), 192–205. https://doi.org/10.1007/s10729-015-9354-3

Sharif, Z., Jung, L. T., Ayaz, M., Yahya, M., & Pitafi, S. (2023). Priority-based task scheduling and resource allocation in edge computing for health monitoring system. Journal of King Saud University-Computer and Information Sciences, 35(2), 544–559. https://doi.org/10.1016/j.jksuci.2022.09.011

Shi, J. G., Bao, Y. B., Leng, F. L., & Yu, G. (2009). Priority-based balance scheduling in real-time data warehouse. In 2009 Ninth International Conference on Hybrid Intelligent Systems (Vol. 3, pp. 301–306). IEEE. https://doi.org/10.1109/HIS.2009.5223754

Lyu, H., Qu, H., Xie, H., Zhang, Y., & Pecht, M. (2023). Reliability analysis of the multi-state system with nonlinear degradation model under Markov environment. Reliability Engineering & System Safety, 238, 109411. https://doi.org/10.1016/j.ress.2023.109411

Meng, M. Q. H., & Zuo, M. J. (1999). Selective maintenance optimization for multi-state systems. In Engineering Solutions for the Next Millennium: 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Vol. 3, pp. 1477–1482). IEEE. https://doi.org/10.1109/CCECE.1999.807543

Downloads

How to Cite

Li, Z., & Xiong, W. (2025). The Li-Xiong Queuing Framework: Dynamic Reliability Optimization for Multi-Tier Border Control Systems. Asia Pacific Economic and Management Review, 2(6). https://doi.org/10.62177/apemr.v2i6.927

Issue

Section

Articles

DATE

Received: 2025-11-30
Accepted: 2025-12-08
Published: 2025-12-18