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Control charts with predetermined sampling intervals

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Resumo:Purpose – The aim of this study is to investigate a new sampling methodology previously proposed for systems with a known lifetime distribution: the Predetermined Sampling Intervals (PSI) method. Design/methodology/approach – The methodology is defined on basis of system hazard cumulative rate, and is compared with other approaches, particularly those whose parameters may change in real time, taking into account current sample information. Findings – For different lifetime distributions, the results obtained for adjusted average time to signal (AATS) using a control chart for the sample mean are presented and analysed. They demonstrate the high degree of statistical performance of this sampling procedure, particularly when used in systems with an increasing failure rate distribution. Practical implications – This PSI method is important from a quality and reliability management point of view. Originality/value - This methodology involves a process by which sampling instants are obtained at the beginning of the process to be controlled. Also this new approach allows for statistical comparison with other sampling schemes, which is a novel feature.
Autores principais:Rodrigues Dias, José
Outros Autores:Infante, Paulo
Assunto:Control charts Predetermined sampling intervals PSI method Failure rate Sampling methods Statistical quality control
Ano:2012
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade de Évora
Idioma:inglês
Origem:Repositório Científico da Universidade de Évora
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author Rodrigues Dias, José
author2 Infante, Paulo
author2_role author
author_facet Rodrigues Dias, José
Infante, Paulo
author_role author
country_str PT
creators_json_txt [{\"Person.name\":\"Rodrigues Dias, José\"},{\"Person.name\":\"Infante, Paulo\"}]
datacite.creators.creator.creatorName.fl_str_mv Rodrigues Dias, José
Infante, Paulo
datacite.date.Accepted.fl_str_mv 2008-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2012-11-20T12:05:24Z
datacite.date.embargoed.fl_str_mv 2012-11-20T12:05:24Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Control charts
Predetermined sampling intervals
PSI method
Failure rate
Sampling methods
Statistical quality control
datacite.titles.title.fl_str_mv Control charts with predetermined sampling intervals
dc.creator.none.fl_str_mv Rodrigues Dias, José
Infante, Paulo
dc.date.Accepted.fl_str_mv 2008-01-01T00:00:00Z
dc.date.available.fl_str_mv 2012-11-20T12:05:24Z
dc.date.embargoed.fl_str_mv 2012-11-20T12:05:24Z
dc.identifier.none.fl_str_mv http://hdl.handle.net/10174/5784
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Emerald
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Control charts
Predetermined sampling intervals
PSI method
Failure rate
Sampling methods
Statistical quality control
dc.title.fl_str_mv Control charts with predetermined sampling intervals
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Purpose – The aim of this study is to investigate a new sampling methodology previously proposed for systems with a known lifetime distribution: the Predetermined Sampling Intervals (PSI) method. Design/methodology/approach – The methodology is defined on basis of system hazard cumulative rate, and is compared with other approaches, particularly those whose parameters may change in real time, taking into account current sample information. Findings – For different lifetime distributions, the results obtained for adjusted average time to signal (AATS) using a control chart for the sample mean are presented and analysed. They demonstrate the high degree of statistical performance of this sampling procedure, particularly when used in systems with an increasing failure rate distribution. Practical implications – This PSI method is important from a quality and reliability management point of view. Originality/value - This methodology involves a process by which sampling instants are obtained at the beginning of the process to be controlled. Also this new approach allows for statistical comparison with other sampling schemes, which is a novel feature.
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id uevora_91dad4c75ac0b6ca09ac4494de2114f4
identifier.url.fl_str_mv http://hdl.handle.net/10174/5784
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institution Universidade de Évora
instname_str Universidade de Évora
language eng
network_acronym_str uevora
network_name_str Repositório Científico da Universidade de Évora
oai_identifier_str oai:dspace.uevora.pt:10174/5784
organization_str_mv urn:organizationAcronym:uevora
person_str_mv Rodrigues Dias, José
Infante, Paulo
publishDate 2012
publisher.none.fl_str_mv Emerald
reponame_str Repositório Científico da Universidade de Évora
repository_id_str urn:repositoryAcronym:uevora
service_str_mv urn:repositoryAcronym:uevora
spelling Control charts with predetermined sampling intervalsRodrigues Dias, JoséInfante, PauloControl chartsPredetermined sampling intervalsPSI methodFailure rateSampling methodsStatistical quality controlrestricted accesshttp://purl.org/coar/access_right/c_16echttp://hdl.handle.net/10174/5784Handle0265-671XN/AHasVersionDMATN/AHasVersionjrd@uevora.ptN/AHasVersionpinfante@uevora.ptN/AHasVersion336N/AHasVersionhttp://hdl.handle.net/10174/5784Handle2012-11-20T12:05:24Z2012-11-202008-01-01T00:00:00ZPurpose – The aim of this study is to investigate a new sampling methodology previously proposed for systems with a known lifetime distribution: the Predetermined Sampling Intervals (PSI) method. Design/methodology/approach – The methodology is defined on basis of system hazard cumulative rate, and is compared with other approaches, particularly those whose parameters may change in real time, taking into account current sample information. Findings – For different lifetime distributions, the results obtained for adjusted average time to signal (AATS) using a control chart for the sample mean are presented and analysed. They demonstrate the high degree of statistical performance of this sampling procedure, particularly when used in systems with an increasing failure rate distribution. Practical implications – This PSI method is important from a quality and reliability management point of view. Originality/value - This methodology involves a process by which sampling instants are obtained at the beginning of the process to be controlled. Also this new approach allows for statistical comparison with other sampling schemes, which is a novel feature.Emeraldengjournal articlehttp://purl.org/coar/resource_type/c_6501literature
spellingShingle Control charts with predetermined sampling intervals
Rodrigues Dias, José
Control charts
Predetermined sampling intervals
PSI method
Failure rate
Sampling methods
Statistical quality control
status SINGLETON
subject.fl_str_mv Control charts
Predetermined sampling intervals
PSI method
Failure rate
Sampling methods
Statistical quality control
title Control charts with predetermined sampling intervals
title_full Control charts with predetermined sampling intervals
title_fullStr Control charts with predetermined sampling intervals
title_full_unstemmed Control charts with predetermined sampling intervals
title_short Control charts with predetermined sampling intervals
title_sort Control charts with predetermined sampling intervals
topic Control charts
Predetermined sampling intervals
PSI method
Failure rate
Sampling methods
Statistical quality control
topic_facet Control charts
Predetermined sampling intervals
PSI method
Failure rate
Sampling methods
Statistical quality control
url http://hdl.handle.net/10174/5784
visible 1