| Literature DB >> 34976557 |
Chia-Hung Wang1,2.
Abstract
Due to the serious impact of border control measures during the ongoing novel coronavirus (COVID-19) epidemic, new difficulties and challenges have been brought to the border lines of most countries and regions. Focusing on the post-COVID global economic recovery, we develop a computing method for studying the health inspection process based on a three-color risk screening management mechanism at border crossing checkpoints. In this article, to manage the cross-border risk efficiently during the epidemic prevention and control, we formulate a queueing model with hierarchical health inspection channels. The structural characteristics and properties of this three-level queueing model are also analyzed by studying the health inspection process with risk classification. Furthermore, we conduct a series of sensitivity analysis on several performance measures for the studied queueing system. In the numerical results, we figure out the monotonicity, convexity and complicated patterns of the derived formulas. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/.Entities:
Keywords: Queueing model; border control; epidemic prevention and control; homeland security management; operations management; performance evaluation; risk analysis; system analysis and design
Year: 2020 PMID: 34976557 PMCID: PMC8675553 DOI: 10.1109/ACCESS.2020.3026786
Source DB: PubMed Journal: IEEE Access ISSN: 2169-3536 Impact factor: 3.367