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Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality

The healthcare resources supply network design for resilience is an effective way to deal with uncertainty disruption. In this article we propose a model of supply network self-organization evolution, and establish self-organized criticality as a cause of cascade failure. Our main purpose is to keep...

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Detalles Bibliográficos
Autores principales: Geng, Liang, Xiao, Renbin, Chen, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551799/
https://www.ncbi.nlm.nih.gov/pubmed/32751467
http://dx.doi.org/10.3390/healthcare8030245
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author Geng, Liang
Xiao, Renbin
Chen, Jie
author_facet Geng, Liang
Xiao, Renbin
Chen, Jie
author_sort Geng, Liang
collection PubMed
description The healthcare resources supply network design for resilience is an effective way to deal with uncertainty disruption. In this article we propose a model of supply network self-organization evolution, and establish self-organized criticality as a cause of cascade failure. Our main purpose is to keep the system in a resilient range, i.e., critical state. A network structural design with smaller degree distribution exponent can achieve better absorptive capacity at macro level. An interactive rule design with extremal optimization has better adaptive capacity at micro level. Using macro statistic and indicator micro performance indicator, we demonstrate that our design can slow the development to a supercritical state and can improve the resilience of the supply network.
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spelling pubmed-75517992020-10-14 Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality Geng, Liang Xiao, Renbin Chen, Jie Healthcare (Basel) Article The healthcare resources supply network design for resilience is an effective way to deal with uncertainty disruption. In this article we propose a model of supply network self-organization evolution, and establish self-organized criticality as a cause of cascade failure. Our main purpose is to keep the system in a resilient range, i.e., critical state. A network structural design with smaller degree distribution exponent can achieve better absorptive capacity at macro level. An interactive rule design with extremal optimization has better adaptive capacity at micro level. Using macro statistic and indicator micro performance indicator, we demonstrate that our design can slow the development to a supercritical state and can improve the resilience of the supply network. MDPI 2020-07-30 /pmc/articles/PMC7551799/ /pubmed/32751467 http://dx.doi.org/10.3390/healthcare8030245 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Geng, Liang
Xiao, Renbin
Chen, Jie
Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality
title Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality
title_full Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality
title_fullStr Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality
title_full_unstemmed Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality
title_short Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality
title_sort resilience design of healthcare resources supply network based on self-organized criticality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551799/
https://www.ncbi.nlm.nih.gov/pubmed/32751467
http://dx.doi.org/10.3390/healthcare8030245
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