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Solving power outages in healthcare facilities: Algorithmisation and assessment of preparedness

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dc.title Solving power outages in healthcare facilities: Algorithmisation and assessment of preparedness en
dc.contributor.author Víchová, Kateřina
dc.contributor.author Hromada, Martin
dc.contributor.author Džermanský, Martin
dc.contributor.author Snopek, Lukáš
dc.contributor.author Pekaj, Robert
dc.relation.ispartof Energies
dc.identifier.issn 1996-1073 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
utb.relation.volume 16
utb.relation.issue 1
dc.type article
dc.language.iso en
dc.publisher MDPI
dc.identifier.doi 10.3390/en16010457
dc.relation.uri https://www.mdpi.com/1996-1073/16/1/457
dc.subject power outage en
dc.subject healthcare en
dc.subject preparedness en
dc.description.abstract Power outages present a significant threat to all of humanity. However, elements of critical infrastructure are most affected by this event. Among other things, healthcare facilities can be considered critical infrastructure. They are the backbone for saving lives. However, even these medical facilities can be endangered. The primary aim of this paper is to design an algorithm to assess healthcare facilities to solve power outages. Several inputs are considered for the evaluation of healthcare facilities. Based on these inputs, we could gain several outputs, such as object priority, preparedness of the healthcare facility, missing aggregate capacity and fuel stocks. Calculations to obtain this information are available in this article. This algorithm follows up the methodology for the categorisation and prioritisation of objects necessary for the resumption of electricity supply after a blackout. We conclude that only 15% of the surveyed healthcare facilities are prepared for a power outage. en
utb.faculty Faculty of Logistics and Crisis Management
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011356
utb.identifier.obdid 43883846
utb.identifier.scopus 2-s2.0-85145664786
utb.identifier.wok 000910413700001
utb.source j-scopus
dc.date.accessioned 2023-02-15T08:06:31Z
dc.date.available 2023-02-15T08:06:31Z
dc.description.sponsorship Univerzita Tomáše Bati ve Zlíně
dc.description.sponsorship project Tomas Bata University in Zlin, DKRVO/FLKR
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Víchová, Kateřina
utb.contributor.internalauthor Hromada, Martin
utb.contributor.internalauthor Džermanský, Martin
utb.contributor.internalauthor Snopek, Lukáš
utb.contributor.internalauthor Pekaj, Robert
utb.fulltext.sponsorship This research was supported by the project Tomas Bata University in Zlín, DKRVO/FLKŘ.
utb.wos.affiliation [Vichova, Katerina; Dzermansky, Martin; Snopek, Lukas; Pekaj, Robert] Tomas Bata Univ Zlin, Fac Logist & Crisis Management, Studentske Namesti 1532, Uherske Hradiste 68601, Czech Republic; [Hromada, Martin] Tomas Bata Univ Zlin, Fac Appl Informat, Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, Studentské Náměstí 1532, Uherské Hradiště, 686 01, Czech Republic; Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 760 05, Czech Republic
utb.fulltext.projects DKRVO/FLKŘ
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International