An efficient exact hypercube model with fully dedicated servers
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1287/TRSC.2020.1007 http://hdl.handle.net/11449/205849 |
Resumo: | The hypercube model is a useful descriptive tool to evaluate emergency services such as firefighters, police, and emergency medical services where geographically distributed vehicles and personnel serve users in emergencies. This study proposes an extension of the hypercube model to represent a dispatch policy in which advanced equipped servers serve solely life-threatening calls (called dedicated servers). The proposed approach is applied to two case studies of public medical emergency services in two different cities in Brazil and validated with discrete-event simulations. The computational experiments show the proposed model as more sensitive to respond to more life-threatening requests than other hypercube models in the literature, serving more of these requests under increased demand. In addition, to reduce the number of equilibrium equations and, consequently, the computational effort of the hypercube model, an aggregate model is shown based on the grouping of homogeneous servers located in the same station. The aggregation policy does not generate additional losses in the accuracy of the model, as shown through several experiments. |
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Repositório Institucional da UNESP |
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An efficient exact hypercube model with fully dedicated serversAggregation of statesDistinct serversEmergency medical servicesProbabilistic location modelQueueing theoryThe hypercube model is a useful descriptive tool to evaluate emergency services such as firefighters, police, and emergency medical services where geographically distributed vehicles and personnel serve users in emergencies. This study proposes an extension of the hypercube model to represent a dispatch policy in which advanced equipped servers serve solely life-threatening calls (called dedicated servers). The proposed approach is applied to two case studies of public medical emergency services in two different cities in Brazil and validated with discrete-event simulations. The computational experiments show the proposed model as more sensitive to respond to more life-threatening requests than other hypercube models in the literature, serving more of these requests under increased demand. In addition, to reduce the number of equilibrium equations and, consequently, the computational effort of the hypercube model, an aggregate model is shown based on the grouping of homogeneous servers located in the same station. The aggregation policy does not generate additional losses in the accuracy of the model, as shown through several experiments.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Production Engineering São Paulo State University (UNESP)Laboratoire Genie Industriel Ecole Centrale ParisDepartment of Production Engineering São Carlos Federal University (UFSCar)Department of Production Engineering São Paulo State University (UNESP)FAPESP: 2015/05324-4CNPq: 400221/2016-0Universidade Estadual Paulista (Unesp)Ecole Centrale ParisUniversidade Federal de São Carlos (UFSCar)Beojone, Caio Vitor [UNESP]de Souza, Regiane Máximo [UNESP]Iannoni, Ana Paula2021-06-25T10:22:18Z2021-06-25T10:22:18Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article222-237http://dx.doi.org/10.1287/TRSC.2020.1007Transportation Science, v. 55, n. 1, p. 222-237, 2021.1526-54470041-1655http://hdl.handle.net/11449/20584910.1287/TRSC.2020.10072-s2.0-85100510743Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTransportation Scienceinfo:eu-repo/semantics/openAccess2021-10-22T18:33:51Zoai:repositorio.unesp.br:11449/205849Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:57:22.860982Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
An efficient exact hypercube model with fully dedicated servers |
title |
An efficient exact hypercube model with fully dedicated servers |
spellingShingle |
An efficient exact hypercube model with fully dedicated servers Beojone, Caio Vitor [UNESP] Aggregation of states Distinct servers Emergency medical services Probabilistic location model Queueing theory |
title_short |
An efficient exact hypercube model with fully dedicated servers |
title_full |
An efficient exact hypercube model with fully dedicated servers |
title_fullStr |
An efficient exact hypercube model with fully dedicated servers |
title_full_unstemmed |
An efficient exact hypercube model with fully dedicated servers |
title_sort |
An efficient exact hypercube model with fully dedicated servers |
author |
Beojone, Caio Vitor [UNESP] |
author_facet |
Beojone, Caio Vitor [UNESP] de Souza, Regiane Máximo [UNESP] Iannoni, Ana Paula |
author_role |
author |
author2 |
de Souza, Regiane Máximo [UNESP] Iannoni, Ana Paula |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Ecole Centrale Paris Universidade Federal de São Carlos (UFSCar) |
dc.contributor.author.fl_str_mv |
Beojone, Caio Vitor [UNESP] de Souza, Regiane Máximo [UNESP] Iannoni, Ana Paula |
dc.subject.por.fl_str_mv |
Aggregation of states Distinct servers Emergency medical services Probabilistic location model Queueing theory |
topic |
Aggregation of states Distinct servers Emergency medical services Probabilistic location model Queueing theory |
description |
The hypercube model is a useful descriptive tool to evaluate emergency services such as firefighters, police, and emergency medical services where geographically distributed vehicles and personnel serve users in emergencies. This study proposes an extension of the hypercube model to represent a dispatch policy in which advanced equipped servers serve solely life-threatening calls (called dedicated servers). The proposed approach is applied to two case studies of public medical emergency services in two different cities in Brazil and validated with discrete-event simulations. The computational experiments show the proposed model as more sensitive to respond to more life-threatening requests than other hypercube models in the literature, serving more of these requests under increased demand. In addition, to reduce the number of equilibrium equations and, consequently, the computational effort of the hypercube model, an aggregate model is shown based on the grouping of homogeneous servers located in the same station. The aggregation policy does not generate additional losses in the accuracy of the model, as shown through several experiments. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:22:18Z 2021-06-25T10:22:18Z 2021-01-01 |
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.uri.fl_str_mv |
http://dx.doi.org/10.1287/TRSC.2020.1007 Transportation Science, v. 55, n. 1, p. 222-237, 2021. 1526-5447 0041-1655 http://hdl.handle.net/11449/205849 10.1287/TRSC.2020.1007 2-s2.0-85100510743 |
url |
http://dx.doi.org/10.1287/TRSC.2020.1007 http://hdl.handle.net/11449/205849 |
identifier_str_mv |
Transportation Science, v. 55, n. 1, p. 222-237, 2021. 1526-5447 0041-1655 10.1287/TRSC.2020.1007 2-s2.0-85100510743 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Transportation Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
222-237 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129267387596800 |