An efficient exact hypercube model with fully dedicated servers

Detalhes bibliográficos
Autor(a) principal: Beojone, Caio Vitor [UNESP]
Data de Publicação: 2021
Outros Autores: de Souza, Regiane Máximo [UNESP], Iannoni, Ana Paula
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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spelling 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
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