Dui, Hongyan, Liu, Kaixin, Wu, Shaomin (2023) Cascading failures and resilience optimization of hospital infrastructure systems against the COVID-19. Computers & Industrial Engineering, 179 . Article Number 109158. ISSN 0360-8352. (doi:10.1016/j.cie.2023.109158) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:100575)
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Official URL: https://doi.org/10.1016/j.cie.2023.109158 |
Abstract
The outbreak of the Coronavirus Disease 2019 (COVID-19) has put the resilience of a country’s healthcare infrastructure to the most severe test. The challenge of taking emergency measures to optimize the supply of medical resources and effectively meet the medical needs of residents is an important issue that needs to be resolved urgently in the prevention and control of public health emergencies. This paper analyzes cascading failures and optimization of the resilience of the hospital infrastructure system (HIS) with the presence of the COVID-19. It proposes a propagation model to describe the COVID-19 infectious process and establishes a cascading failure model of a HIS to analyze its failure mechanism. It also proposes a method for optimizing the resilience of HIS. Then the supplies and demands in maintaining the operations of HIS are studied, and a restoration strategy is obtained. Finally, simulation analysis of the spread of the COVID-19 is carried out to illustrate the applicability of the proposed method.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.cie.2023.109158 |
Uncontrolled keywords: | reliability cascading failure, resilience, hospital infrastructure system, supply chain |
Subjects: | H Social Sciences > HA Statistics |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Funders: | National Natural Science Foundation of China (https://ror.org/01h0zpd94) |
Depositing User: | Shaomin Wu |
Date Deposited: | 22 Mar 2023 16:35 UTC |
Last Modified: | 04 Mar 2024 16:49 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/100575 (The current URI for this page, for reference purposes) |
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