A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems

Detalhes bibliográficos
Autor(a) principal: Chiyoshi,Fernando
Data de Publicação: 2011
Outros Autores: Iannoni,Ana Paula, Morabito,Reinaldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000200005
Resumo: This paper presents some extensions and applications of hypercube queueing models todescribe server-to-customer type Emergency Service Systems. The classical hypercube is a well-known spatially distributed queueing model effective in analyzing these systems, based on Markovian analysis approximations. Experience has shown that each real life Emergency Service System may have its own unique characteristics so that each system may require a particular hypercube queueing model incorporating those characteristics. Some of these distinctive characteristics are considered in the extensions presented in this tutorial such as dispatch policy based on random selection of the server to take an incoming call; partial cooperation among servers whereby depending on where the call is coming from, some servers cannot take the call; servers with additional workload coming from walk-in nonemergency customers such as in customer-to-server systems; existence of calls requiring the dispatch of more than one server; existence of more than one type of servers in the system, for instance paramedical and medical units in emergency medical systems. In this study, we present a set of these models based on the smallest non-trivial service systems. For each model, the construction of the system of equations for equilibrium hypercube state probabilities and the evaluation of particular operational characteristics are described.
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spelling A tutorial on hypercube queueing models and some practical applications in Emergency Service Systemshypercube queueing modelemergency service systemstoy-modelsserver-to-customer systemsThis paper presents some extensions and applications of hypercube queueing models todescribe server-to-customer type Emergency Service Systems. The classical hypercube is a well-known spatially distributed queueing model effective in analyzing these systems, based on Markovian analysis approximations. Experience has shown that each real life Emergency Service System may have its own unique characteristics so that each system may require a particular hypercube queueing model incorporating those characteristics. Some of these distinctive characteristics are considered in the extensions presented in this tutorial such as dispatch policy based on random selection of the server to take an incoming call; partial cooperation among servers whereby depending on where the call is coming from, some servers cannot take the call; servers with additional workload coming from walk-in nonemergency customers such as in customer-to-server systems; existence of calls requiring the dispatch of more than one server; existence of more than one type of servers in the system, for instance paramedical and medical units in emergency medical systems. In this study, we present a set of these models based on the smallest non-trivial service systems. For each model, the construction of the system of equations for equilibrium hypercube state probabilities and the evaluation of particular operational characteristics are described.Sociedade Brasileira de Pesquisa Operacional2011-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000200005Pesquisa Operacional v.31 n.2 2011reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382011000200005info:eu-repo/semantics/openAccessChiyoshi,FernandoIannoni,Ana PaulaMorabito,Reinaldoeng2011-08-05T00:00:00Zoai:scielo:S0101-74382011000200005Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2011-08-05T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
title A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
spellingShingle A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
Chiyoshi,Fernando
hypercube queueing model
emergency service systems
toy-models
server-to-customer systems
title_short A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
title_full A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
title_fullStr A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
title_full_unstemmed A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
title_sort A tutorial on hypercube queueing models and some practical applications in Emergency Service Systems
author Chiyoshi,Fernando
author_facet Chiyoshi,Fernando
Iannoni,Ana Paula
Morabito,Reinaldo
author_role author
author2 Iannoni,Ana Paula
Morabito,Reinaldo
author2_role author
author
dc.contributor.author.fl_str_mv Chiyoshi,Fernando
Iannoni,Ana Paula
Morabito,Reinaldo
dc.subject.por.fl_str_mv hypercube queueing model
emergency service systems
toy-models
server-to-customer systems
topic hypercube queueing model
emergency service systems
toy-models
server-to-customer systems
description This paper presents some extensions and applications of hypercube queueing models todescribe server-to-customer type Emergency Service Systems. The classical hypercube is a well-known spatially distributed queueing model effective in analyzing these systems, based on Markovian analysis approximations. Experience has shown that each real life Emergency Service System may have its own unique characteristics so that each system may require a particular hypercube queueing model incorporating those characteristics. Some of these distinctive characteristics are considered in the extensions presented in this tutorial such as dispatch policy based on random selection of the server to take an incoming call; partial cooperation among servers whereby depending on where the call is coming from, some servers cannot take the call; servers with additional workload coming from walk-in nonemergency customers such as in customer-to-server systems; existence of calls requiring the dispatch of more than one server; existence of more than one type of servers in the system, for instance paramedical and medical units in emergency medical systems. In this study, we present a set of these models based on the smallest non-trivial service systems. For each model, the construction of the system of equations for equilibrium hypercube state probabilities and the evaluation of particular operational characteristics are described.
publishDate 2011
dc.date.none.fl_str_mv 2011-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000200005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382011000200005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382011000200005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.31 n.2 2011
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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