SAMU ambulance positioning using MALP model
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/388 |
Resumo: | One of the constitutional principles of the public health care system in Brazil is universality, which turns health into a fundamental right and ensures that all citizens shall have access to health service whenever required. The purpose of this study is to assess the positioning of ambulances in Duque de Caxias-RJ, and find new arrangements to maximize the covered population. The configuration of a network that provides such service is indeed significant since small deviations may lead to users’ death. Therefore, four scenarios were built in order to represent different network arrangements, according to the manager’s strategy or the budget limitations of the city. An Integer Programming model for servers’ positioning was used in each scenario. Indicators such as percentage of coverage population and total cost were then used to compare and choose the best solution. Results have shown that the current coverage could be doubled by just relocating facilities that already exist, without adding any costs. It is important to notice that this solution is rather different from the current positioning. |
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Brazilian Journal of Operations & Production Management (Online) |
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SAMU ambulance positioning using MALP modelFacility LocationEmergency ServicesInteger ProgrammingAmbulance Positioning.One of the constitutional principles of the public health care system in Brazil is universality, which turns health into a fundamental right and ensures that all citizens shall have access to health service whenever required. The purpose of this study is to assess the positioning of ambulances in Duque de Caxias-RJ, and find new arrangements to maximize the covered population. The configuration of a network that provides such service is indeed significant since small deviations may lead to users’ death. Therefore, four scenarios were built in order to represent different network arrangements, according to the manager’s strategy or the budget limitations of the city. An Integer Programming model for servers’ positioning was used in each scenario. Indicators such as percentage of coverage population and total cost were then used to compare and choose the best solution. Results have shown that the current coverage could be doubled by just relocating facilities that already exist, without adding any costs. It is important to notice that this solution is rather different from the current positioning. Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2017-12-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articletext/htmlapplication/pdfhttps://bjopm.org.br/bjopm/article/view/38810.14488/BJOPM.2017.v14.n4.a7Brazilian Journal of Operations & Production Management; Vol. 14 No. 4 (2017): December, 2017; 508-5182237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/388/330https://bjopm.org.br/bjopm/article/view/388/356Copyright (c) 2017 Brazilian Journal of Operations & Production Managementinfo:eu-repo/semantics/openAccessCoelho, OrmeuAlexandrino, FernandoBarreto, Bruno2021-07-13T14:14:46Zoai:ojs.bjopm.org.br:article/388Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:15.155035Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
SAMU ambulance positioning using MALP model |
title |
SAMU ambulance positioning using MALP model |
spellingShingle |
SAMU ambulance positioning using MALP model Coelho, Ormeu Facility Location Emergency Services Integer Programming Ambulance Positioning. |
title_short |
SAMU ambulance positioning using MALP model |
title_full |
SAMU ambulance positioning using MALP model |
title_fullStr |
SAMU ambulance positioning using MALP model |
title_full_unstemmed |
SAMU ambulance positioning using MALP model |
title_sort |
SAMU ambulance positioning using MALP model |
author |
Coelho, Ormeu |
author_facet |
Coelho, Ormeu Alexandrino, Fernando Barreto, Bruno |
author_role |
author |
author2 |
Alexandrino, Fernando Barreto, Bruno |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Coelho, Ormeu Alexandrino, Fernando Barreto, Bruno |
dc.subject.por.fl_str_mv |
Facility Location Emergency Services Integer Programming Ambulance Positioning. |
topic |
Facility Location Emergency Services Integer Programming Ambulance Positioning. |
description |
One of the constitutional principles of the public health care system in Brazil is universality, which turns health into a fundamental right and ensures that all citizens shall have access to health service whenever required. The purpose of this study is to assess the positioning of ambulances in Duque de Caxias-RJ, and find new arrangements to maximize the covered population. The configuration of a network that provides such service is indeed significant since small deviations may lead to users’ death. Therefore, four scenarios were built in order to represent different network arrangements, according to the manager’s strategy or the budget limitations of the city. An Integer Programming model for servers’ positioning was used in each scenario. Indicators such as percentage of coverage population and total cost were then used to compare and choose the best solution. Results have shown that the current coverage could be doubled by just relocating facilities that already exist, without adding any costs. It is important to notice that this solution is rather different from the current positioning. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/388 10.14488/BJOPM.2017.v14.n4.a7 |
url |
https://bjopm.org.br/bjopm/article/view/388 |
identifier_str_mv |
10.14488/BJOPM.2017.v14.n4.a7 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/388/330 https://bjopm.org.br/bjopm/article/view/388/356 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 14 No. 4 (2017): December, 2017; 508-518 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051460852121600 |