Modelos alternativos em filas M/G/1

Detalhes bibliográficos
Autor(a) principal: Prado, Silvia Maria
Data de Publicação: 2015
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFSCAR
Texto Completo: https://repositorio.ufscar.br/handle/ufscar/8693
Resumo: The main aim of this work is to develop alternative queuing models to M/ G/l, in which arrivals follow a Poisson process, the total number of customers on the system and the total number of service channels are unknown. Our interest is just to observe the service channel that will offer the maximum or minimum service time. Wherefore, the service distributions are obtained from the composition of the Conwav-Maxwell-Poisson distribution truncated at zero, used to model the number of service channels, with the general distribution to the maximum and minimum service time. Thus, we obtain new distributions for service time, which are called Maximum-Conwav-Maxwell-Poisson-general, denoted by MAXCOMPG distribution, and Minimum-Conwav-Maxwell-Poisson-general, denoted by MINCOMPG distribution, consequently, we obtain the queue models M/MAXCOMPG/1 and M/MINCOMPG/ 1, respectively. As general distributions, we use the distributions exponential, Weibull and Birnbaum Saunders, To illustrate the proposed queue models, a simulation study is done and also real data are used.
id SCAR_d9dbbe0af42d0a90ede4413c4a81c84c
oai_identifier_str oai:repositorio.ufscar.br:ufscar/8693
network_acronym_str SCAR
network_name_str Repositório Institucional da UFSCAR
repository_id_str 4322
spelling Prado, Silvia MariaLouzada Neto, Franciscohttp://lattes.cnpq.br/0994050156415890http://lattes.cnpq.br/186082734938782808a76fc5-bce2-4734-b084-8db1b642da0e2017-05-02T13:06:24Z2017-05-02T13:06:24Z2015-11-26PRADO, Silvia Maria. Modelos alternativos em filas M/G/1. 2015. Tese (Doutorado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2015. Disponível em: https://repositorio.ufscar.br/handle/ufscar/8693.https://repositorio.ufscar.br/handle/ufscar/8693The main aim of this work is to develop alternative queuing models to M/ G/l, in which arrivals follow a Poisson process, the total number of customers on the system and the total number of service channels are unknown. Our interest is just to observe the service channel that will offer the maximum or minimum service time. Wherefore, the service distributions are obtained from the composition of the Conwav-Maxwell-Poisson distribution truncated at zero, used to model the number of service channels, with the general distribution to the maximum and minimum service time. Thus, we obtain new distributions for service time, which are called Maximum-Conwav-Maxwell-Poisson-general, denoted by MAXCOMPG distribution, and Minimum-Conwav-Maxwell-Poisson-general, denoted by MINCOMPG distribution, consequently, we obtain the queue models M/MAXCOMPG/1 and M/MINCOMPG/ 1, respectively. As general distributions, we use the distributions exponential, Weibull and Birnbaum Saunders, To illustrate the proposed queue models, a simulation study is done and also real data are used.Este trabalho tem como objetivo apresentar modelos de filas alternativos ao M/G/l, nos quais as chegadas seguem um processo de Poisson, o número total de usuários no sistema e o número total de canais de atendimento são desconhecidos. Neste caso, observamos apenas o canal de serviço que irá oferecer o máximo ou o mínimo tempo de serviço. Para isto, as distribuições de serviço são obtidas a partir da composição da distribuição Conwav-Maxwell-Poisson truncada no ponto zero, usada para modelar o número de canais de atendimento, com uma distribuição geral para o máximo e o mínimo tempos de serviço. Desta forma, surgem novas distribuições de serviço que são denominadas de Máximo-Conwav-Maxwell-Poisson-geral, denotada por distribuição MAXCOMPG, e Mínimo-Conwav-Maxwell-Poisson-geral, denotada por distribuição MINCOMPG, e, assim, obtemos os modelos de fila M MAXCOMPG 1 e M MINCOMPG 1. Como distribuições gerais usamos as distribuições exponencial, Weibull e Birnbaum Saunders, Para ilustrar os modelos de fila propostos um amplo estudo de simulação é feito e dados reais também são utilizados.Não recebi financiamentoporUniversidade Federal de São CarlosCâmpus São CarlosPrograma de Pós-Graduação em Estatística - PPGEsUFSCarModelos de fila M/G/lDistribuição Conwav-Maxwell-PoissonDistribuição do máximo e do mínimo tempos de serviçoM/G/l queueConwav-Maxwell-Poisson distributionDistribution for the maximum and minimum service timeCIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICAModelos alternativos em filas M/G/1info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisOnline600600d0f3b31a-38c4-4c28-aa5b-837ad377108einfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARLICENSElicense.txtlicense.txttext/plain; charset=utf-81957https://repositorio.ufscar.br/bitstream/ufscar/8693/2/license.txtae0398b6f8b235e40ad82cba6c50031dMD52ORIGINALTeseSMP.pdfTeseSMP.pdfapplication/pdf1382232https://repositorio.ufscar.br/bitstream/ufscar/8693/1/TeseSMP.pdf8758d122cc415ab540988c4f92e38cc8MD51TEXTTeseSMP.pdf.txtTeseSMP.pdf.txtExtracted texttext/plain265199https://repositorio.ufscar.br/bitstream/ufscar/8693/3/TeseSMP.pdf.txte794f55ad214928685dc73f69c4ba36bMD53THUMBNAILTeseSMP.pdf.jpgTeseSMP.pdf.jpgIM Thumbnailimage/jpeg5080https://repositorio.ufscar.br/bitstream/ufscar/8693/4/TeseSMP.pdf.jpg2c8d8312465deaba9b1c8bd892d4d7c0MD54ufscar/86932023-09-18 18:31:23.695oai:repositorio.ufscar.br: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Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-09-18T18:31:23Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false
dc.title.por.fl_str_mv Modelos alternativos em filas M/G/1
title Modelos alternativos em filas M/G/1
spellingShingle Modelos alternativos em filas M/G/1
Prado, Silvia Maria
Modelos de fila M/G/l
Distribuição Conwav-Maxwell-Poisson
Distribuição do máximo e do mínimo tempos de serviço
M/G/l queue
Conwav-Maxwell-Poisson distribution
Distribution for the maximum and minimum service time
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
title_short Modelos alternativos em filas M/G/1
title_full Modelos alternativos em filas M/G/1
title_fullStr Modelos alternativos em filas M/G/1
title_full_unstemmed Modelos alternativos em filas M/G/1
title_sort Modelos alternativos em filas M/G/1
author Prado, Silvia Maria
author_facet Prado, Silvia Maria
author_role author
dc.contributor.authorlattes.por.fl_str_mv http://lattes.cnpq.br/1860827349387828
dc.contributor.author.fl_str_mv Prado, Silvia Maria
dc.contributor.advisor1.fl_str_mv Louzada Neto, Francisco
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0994050156415890
dc.contributor.authorID.fl_str_mv 08a76fc5-bce2-4734-b084-8db1b642da0e
contributor_str_mv Louzada Neto, Francisco
dc.subject.por.fl_str_mv Modelos de fila M/G/l
Distribuição Conwav-Maxwell-Poisson
Distribuição do máximo e do mínimo tempos de serviço
topic Modelos de fila M/G/l
Distribuição Conwav-Maxwell-Poisson
Distribuição do máximo e do mínimo tempos de serviço
M/G/l queue
Conwav-Maxwell-Poisson distribution
Distribution for the maximum and minimum service time
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
dc.subject.eng.fl_str_mv M/G/l queue
Conwav-Maxwell-Poisson distribution
Distribution for the maximum and minimum service time
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
description The main aim of this work is to develop alternative queuing models to M/ G/l, in which arrivals follow a Poisson process, the total number of customers on the system and the total number of service channels are unknown. Our interest is just to observe the service channel that will offer the maximum or minimum service time. Wherefore, the service distributions are obtained from the composition of the Conwav-Maxwell-Poisson distribution truncated at zero, used to model the number of service channels, with the general distribution to the maximum and minimum service time. Thus, we obtain new distributions for service time, which are called Maximum-Conwav-Maxwell-Poisson-general, denoted by MAXCOMPG distribution, and Minimum-Conwav-Maxwell-Poisson-general, denoted by MINCOMPG distribution, consequently, we obtain the queue models M/MAXCOMPG/1 and M/MINCOMPG/ 1, respectively. As general distributions, we use the distributions exponential, Weibull and Birnbaum Saunders, To illustrate the proposed queue models, a simulation study is done and also real data are used.
publishDate 2015
dc.date.issued.fl_str_mv 2015-11-26
dc.date.accessioned.fl_str_mv 2017-05-02T13:06:24Z
dc.date.available.fl_str_mv 2017-05-02T13:06:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv PRADO, Silvia Maria. Modelos alternativos em filas M/G/1. 2015. Tese (Doutorado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2015. Disponível em: https://repositorio.ufscar.br/handle/ufscar/8693.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/ufscar/8693
identifier_str_mv PRADO, Silvia Maria. Modelos alternativos em filas M/G/1. 2015. Tese (Doutorado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2015. Disponível em: https://repositorio.ufscar.br/handle/ufscar/8693.
url https://repositorio.ufscar.br/handle/ufscar/8693
dc.language.iso.fl_str_mv por
language por
dc.relation.confidence.fl_str_mv 600
600
dc.relation.authority.fl_str_mv d0f3b31a-38c4-4c28-aa5b-837ad377108e
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Estatística - PPGEs
dc.publisher.initials.fl_str_mv UFSCar
publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFSCAR
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Repositório Institucional da UFSCAR
collection Repositório Institucional da UFSCAR
bitstream.url.fl_str_mv https://repositorio.ufscar.br/bitstream/ufscar/8693/2/license.txt
https://repositorio.ufscar.br/bitstream/ufscar/8693/1/TeseSMP.pdf
https://repositorio.ufscar.br/bitstream/ufscar/8693/3/TeseSMP.pdf.txt
https://repositorio.ufscar.br/bitstream/ufscar/8693/4/TeseSMP.pdf.jpg
bitstream.checksum.fl_str_mv ae0398b6f8b235e40ad82cba6c50031d
8758d122cc415ab540988c4f92e38cc8
e794f55ad214928685dc73f69c4ba36b
2c8d8312465deaba9b1c8bd892d4d7c0
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv
_version_ 1813715574491971584