Optimization model for the installation of SAMU bases: application in Natal-RN

Detalhes bibliográficos
Autor(a) principal: Cabral, Eric Lucas dos Santos
Data de Publicação: 2019
Outros Autores: Castro, Wilkson Ricardo Silva, Francisco, Claudia Aparecida Cavalheiro, Souza, Ricardo Pires de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/33259
Resumo: A Medical Emergency Service is responsible for providing pre-hospital acute care and has the key role of providing good services to people, especially in urban areas. In Brazil, the Emergency Medical Assistance Service (SAMU) operates in several cities and aims to reach the victim early after an injury to his health has occurred, by sending vehicles manned by trained personnel. The objective of this study was the application of a mathematical model aiming to designate neighborhoods for the installation of new SAMU bases that minimize the distance traveled by the ambulances in the city of Natal / RN. After data collection, it was found that the average service response time of the SAMU was over 40 minutes for calls classified as red code. The average number of calls in 2015 was 1,930 per month, in this city with a population of 800,000. The application of the model allowed for the simulation of scenarios with the installation of 3 to 8 fixed bases. There was a significant reduction in the distance traveled by the ambulances which reached 48%, after the installation of eight bases. In other words, there was a reduction of 6,560 kilometers traveled per month by ambulances. The new SAMU bases are being installed in containers to minimize installation costs and easy relocation in the near future
id UFRN_af4df3b7cc770baf89c6d975d955200b
oai_identifier_str oai:https://repositorio.ufrn.br:123456789/33259
network_acronym_str UFRN
network_name_str Repositório Institucional da UFRN
repository_id_str
spelling Cabral, Eric Lucas dos SantosCastro, Wilkson Ricardo SilvaFrancisco, Claudia Aparecida CavalheiroSouza, Ricardo Pires de2021-08-30T21:06:14Z2021-08-30T21:06:14Z2019CABRAL, E. L. S.; CASTRO, W. R. S.; FRANCISCO, C. A. C.; SOUZA, R.P.. Optimization model for the installation of SAMU bases: application in Natal-RN. GEPROS. Gestão da Produção, Operações e Sistemas, v. 14, p. 161-173, 2019. Disponível em: https://revista.feb.unesp.br/index.php/gepros/article/view/2459. Acesso em: 18 mai. 2021. https://doi.org/10.15675/gepros.v14i5.2459.1984-2430https://repositorio.ufrn.br/handle/123456789/3325910.15675/gepros.v14i5.2459Universidade Estadual Paulista (UNESP)Attribution-NonCommercial 3.0 Brazilhttp://creativecommons.org/licenses/by-nc/3.0/br/info:eu-repo/semantics/openAccessEmergency medical serviceHealth careModel simulationOptimization model for the installation of SAMU bases: application in Natal-RNinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleA Medical Emergency Service is responsible for providing pre-hospital acute care and has the key role of providing good services to people, especially in urban areas. In Brazil, the Emergency Medical Assistance Service (SAMU) operates in several cities and aims to reach the victim early after an injury to his health has occurred, by sending vehicles manned by trained personnel. The objective of this study was the application of a mathematical model aiming to designate neighborhoods for the installation of new SAMU bases that minimize the distance traveled by the ambulances in the city of Natal / RN. After data collection, it was found that the average service response time of the SAMU was over 40 minutes for calls classified as red code. The average number of calls in 2015 was 1,930 per month, in this city with a population of 800,000. The application of the model allowed for the simulation of scenarios with the installation of 3 to 8 fixed bases. There was a significant reduction in the distance traveled by the ambulances which reached 48%, after the installation of eight bases. In other words, there was a reduction of 6,560 kilometers traveled per month by ambulances. The new SAMU bases are being installed in containers to minimize installation costs and easy relocation in the near futureengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALOptimizationModelInstallation_Souza_2019.pdfOptimizationModelInstallation_Souza_2019.pdfapplication/pdf910872https://repositorio.ufrn.br/bitstream/123456789/33259/1/OptimizationModelInstallation_Souza_2019.pdfd22309163f6700be141215bd773db96aMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8920https://repositorio.ufrn.br/bitstream/123456789/33259/2/license_rdf728dfda2fa81b274c619d08d1dfc1a03MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/33259/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/332592021-08-30 18:06:14.567oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-08-30T21:06:14Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Optimization model for the installation of SAMU bases: application in Natal-RN
title Optimization model for the installation of SAMU bases: application in Natal-RN
spellingShingle Optimization model for the installation of SAMU bases: application in Natal-RN
Cabral, Eric Lucas dos Santos
Emergency medical service
Health care
Model simulation
title_short Optimization model for the installation of SAMU bases: application in Natal-RN
title_full Optimization model for the installation of SAMU bases: application in Natal-RN
title_fullStr Optimization model for the installation of SAMU bases: application in Natal-RN
title_full_unstemmed Optimization model for the installation of SAMU bases: application in Natal-RN
title_sort Optimization model for the installation of SAMU bases: application in Natal-RN
author Cabral, Eric Lucas dos Santos
author_facet Cabral, Eric Lucas dos Santos
Castro, Wilkson Ricardo Silva
Francisco, Claudia Aparecida Cavalheiro
Souza, Ricardo Pires de
author_role author
author2 Castro, Wilkson Ricardo Silva
Francisco, Claudia Aparecida Cavalheiro
Souza, Ricardo Pires de
author2_role author
author
author
dc.contributor.author.fl_str_mv Cabral, Eric Lucas dos Santos
Castro, Wilkson Ricardo Silva
Francisco, Claudia Aparecida Cavalheiro
Souza, Ricardo Pires de
dc.subject.por.fl_str_mv Emergency medical service
Health care
Model simulation
topic Emergency medical service
Health care
Model simulation
description A Medical Emergency Service is responsible for providing pre-hospital acute care and has the key role of providing good services to people, especially in urban areas. In Brazil, the Emergency Medical Assistance Service (SAMU) operates in several cities and aims to reach the victim early after an injury to his health has occurred, by sending vehicles manned by trained personnel. The objective of this study was the application of a mathematical model aiming to designate neighborhoods for the installation of new SAMU bases that minimize the distance traveled by the ambulances in the city of Natal / RN. After data collection, it was found that the average service response time of the SAMU was over 40 minutes for calls classified as red code. The average number of calls in 2015 was 1,930 per month, in this city with a population of 800,000. The application of the model allowed for the simulation of scenarios with the installation of 3 to 8 fixed bases. There was a significant reduction in the distance traveled by the ambulances which reached 48%, after the installation of eight bases. In other words, there was a reduction of 6,560 kilometers traveled per month by ambulances. The new SAMU bases are being installed in containers to minimize installation costs and easy relocation in the near future
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2021-08-30T21:06:14Z
dc.date.available.fl_str_mv 2021-08-30T21:06:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv CABRAL, E. L. S.; CASTRO, W. R. S.; FRANCISCO, C. A. C.; SOUZA, R.P.. Optimization model for the installation of SAMU bases: application in Natal-RN. GEPROS. Gestão da Produção, Operações e Sistemas, v. 14, p. 161-173, 2019. Disponível em: https://revista.feb.unesp.br/index.php/gepros/article/view/2459. Acesso em: 18 mai. 2021. https://doi.org/10.15675/gepros.v14i5.2459.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/33259
dc.identifier.issn.none.fl_str_mv 1984-2430
dc.identifier.doi.none.fl_str_mv 10.15675/gepros.v14i5.2459
identifier_str_mv CABRAL, E. L. S.; CASTRO, W. R. S.; FRANCISCO, C. A. C.; SOUZA, R.P.. Optimization model for the installation of SAMU bases: application in Natal-RN. GEPROS. Gestão da Produção, Operações e Sistemas, v. 14, p. 161-173, 2019. Disponível em: https://revista.feb.unesp.br/index.php/gepros/article/view/2459. Acesso em: 18 mai. 2021. https://doi.org/10.15675/gepros.v14i5.2459.
1984-2430
10.15675/gepros.v14i5.2459
url https://repositorio.ufrn.br/handle/123456789/33259
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution-NonCommercial 3.0 Brazil
http://creativecommons.org/licenses/by-nc/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial 3.0 Brazil
http://creativecommons.org/licenses/by-nc/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Estadual Paulista (UNESP)
publisher.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
bitstream.url.fl_str_mv https://repositorio.ufrn.br/bitstream/123456789/33259/1/OptimizationModelInstallation_Souza_2019.pdf
https://repositorio.ufrn.br/bitstream/123456789/33259/2/license_rdf
https://repositorio.ufrn.br/bitstream/123456789/33259/3/license.txt
bitstream.checksum.fl_str_mv d22309163f6700be141215bd773db96a
728dfda2fa81b274c619d08d1dfc1a03
e9597aa2854d128fd968be5edc8a28d9
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)
repository.mail.fl_str_mv
_version_ 1802117753246580736