FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/0101-7438.2019.039.02.0339 http://hdl.handle.net/11449/211310 |
Resumo: | The control chart introduced by Shewhart is one of the most important quality control techniques used to detect special causes. Real world data are complicated to interpret since they involve a certain level of uncertainty that may be linked to human subjectivity or measurement device limitations. Fuzzy set theory can deal with such uncertainty and can be applied to traditional control charts. In this work, the values of the quality characteristic are fuzzified by the insertion of uncertainties and transformed into representative values for a better comparison with traditional control charts. The performance of a control chart can be measured by the average run length (ARL) and the extra quadratic loss (EQL). We observed in the present work that the fuzzy control chart has greater efficiency than the traditional control charts. An illustrative example demonstrates the application of the fuzzy control chart for the measurement of the volume contained in milk bags. |
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Repositório Institucional da UNESP |
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FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSEScontrol chartfuzzyaverage run length (ARL)extra quadratic loss (EQL)The control chart introduced by Shewhart is one of the most important quality control techniques used to detect special causes. Real world data are complicated to interpret since they involve a certain level of uncertainty that may be linked to human subjectivity or measurement device limitations. Fuzzy set theory can deal with such uncertainty and can be applied to traditional control charts. In this work, the values of the quality characteristic are fuzzified by the insertion of uncertainties and transformed into representative values for a better comparison with traditional control charts. The performance of a control chart can be measured by the average run length (ARL) and the extra quadratic loss (EQL). We observed in the present work that the fuzzy control chart has greater efficiency than the traditional control charts. An illustrative example demonstrates the application of the fuzzy control chart for the measurement of the volume contained in milk bags.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Universidade Estadual Paulista “Júlio Mesquita Filho”, Faculdade de Engenharia de GuaratinguetáUniversidade Estadual Paulista “Júlio Mesquita Filho”, Faculdade de Engenharia de GuaratinguetáCAPES: 001Sociedade Brasileira de Pesquisa OperacionalUniversidade Estadual Paulista (Unesp)Mendes, Amanda Dos Santos [UNESP]Machado, Marcela A. G. [UNESP]Rizol, Paloma M. S. Rocha [UNESP]2021-07-14T10:22:23Z2021-07-14T10:22:23Z2019-09-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article339-357application/pdfhttp://dx.doi.org/10.1590/0101-7438.2019.039.02.0339Pesquisa Operacional. Sociedade Brasileira de Pesquisa Operacional, v. 39, n. 2, p. 339-357, 2019.0101-74381678-5142http://hdl.handle.net/11449/21131010.1590/0101-7438.2019.039.02.0339S0101-74382019000200339S0101-74382019000200339.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPesquisa Operacionalinfo:eu-repo/semantics/openAccess2023-10-27T06:07:26Zoai:repositorio.unesp.br:11449/211310Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:06:30.524552Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES |
title |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES |
spellingShingle |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES Mendes, Amanda Dos Santos [UNESP] control chart fuzzy average run length (ARL) extra quadratic loss (EQL) |
title_short |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES |
title_full |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES |
title_fullStr |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES |
title_full_unstemmed |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES |
title_sort |
FUZZY CONTROL CHART FOR MONITORING MEAN AND RANGE OF UNIVARIATE PROCESSES |
author |
Mendes, Amanda Dos Santos [UNESP] |
author_facet |
Mendes, Amanda Dos Santos [UNESP] Machado, Marcela A. G. [UNESP] Rizol, Paloma M. S. Rocha [UNESP] |
author_role |
author |
author2 |
Machado, Marcela A. G. [UNESP] Rizol, Paloma M. S. Rocha [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Mendes, Amanda Dos Santos [UNESP] Machado, Marcela A. G. [UNESP] Rizol, Paloma M. S. Rocha [UNESP] |
dc.subject.por.fl_str_mv |
control chart fuzzy average run length (ARL) extra quadratic loss (EQL) |
topic |
control chart fuzzy average run length (ARL) extra quadratic loss (EQL) |
description |
The control chart introduced by Shewhart is one of the most important quality control techniques used to detect special causes. Real world data are complicated to interpret since they involve a certain level of uncertainty that may be linked to human subjectivity or measurement device limitations. Fuzzy set theory can deal with such uncertainty and can be applied to traditional control charts. In this work, the values of the quality characteristic are fuzzified by the insertion of uncertainties and transformed into representative values for a better comparison with traditional control charts. The performance of a control chart can be measured by the average run length (ARL) and the extra quadratic loss (EQL). We observed in the present work that the fuzzy control chart has greater efficiency than the traditional control charts. An illustrative example demonstrates the application of the fuzzy control chart for the measurement of the volume contained in milk bags. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-23 2021-07-14T10:22:23Z 2021-07-14T10:22:23Z |
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/10.1590/0101-7438.2019.039.02.0339 Pesquisa Operacional. Sociedade Brasileira de Pesquisa Operacional, v. 39, n. 2, p. 339-357, 2019. 0101-7438 1678-5142 http://hdl.handle.net/11449/211310 10.1590/0101-7438.2019.039.02.0339 S0101-74382019000200339 S0101-74382019000200339.pdf |
url |
http://dx.doi.org/10.1590/0101-7438.2019.039.02.0339 http://hdl.handle.net/11449/211310 |
identifier_str_mv |
Pesquisa Operacional. Sociedade Brasileira de Pesquisa Operacional, v. 39, n. 2, p. 339-357, 2019. 0101-7438 1678-5142 10.1590/0101-7438.2019.039.02.0339 S0101-74382019000200339 S0101-74382019000200339.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Pesquisa Operacional |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
339-357 application/pdf |
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 |
SciELO 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_ |
1808128608318783488 |