EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS

Bibliographic Details
Main Author: Al-Nasser,Amjad D.
Publication Date: 2020
Other Authors: Ciavolino,Enrico, Al-Omari,Amer
Format: Article
Language: eng
Source: Pesquisa operacional (Online)
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382020000100203
Summary: ABSTRACT In this paper, we proposed a new ranked data control chart using repetitive sampling criterion to increase the performance of detecting any shift in mean process. For the comparisons target, the average run length (ARL) of the proposed control chart based on repetitive extreme ranked set sampling computed using exact and estimated parameters. The results showed that the ARL affected negatively by the parameter estimation. Moreover, the performances of the proposed control chart is evaluated and compared with similar control chart that obtained by using different sampling schemes such as the simple random sampling, ranked set sampling, extreme ranked set sampling and repetitive ranked set sampling.. The results showed that the ranked data based control chart outperform the classical control chart in terms of the ARL.
id SOBRAPO-1_08798b55cf1498bc0e34ab6052ca1d08
oai_identifier_str oai:scielo:S0101-74382020000100203
network_acronym_str SOBRAPO-1
network_name_str Pesquisa operacional (Online)
repository_id_str
spelling EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTSextreme ranked set samplingranked set samplingrepetitive samplingShewhart control chartaverage run lengthABSTRACT In this paper, we proposed a new ranked data control chart using repetitive sampling criterion to increase the performance of detecting any shift in mean process. For the comparisons target, the average run length (ARL) of the proposed control chart based on repetitive extreme ranked set sampling computed using exact and estimated parameters. The results showed that the ARL affected negatively by the parameter estimation. Moreover, the performances of the proposed control chart is evaluated and compared with similar control chart that obtained by using different sampling schemes such as the simple random sampling, ranked set sampling, extreme ranked set sampling and repetitive ranked set sampling.. The results showed that the ranked data based control chart outperform the classical control chart in terms of the ARL.Sociedade Brasileira de Pesquisa Operacional2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382020000100203Pesquisa Operacional v.40 2020reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2020.040.00226135info:eu-repo/semantics/openAccessAl-Nasser,Amjad D.Ciavolino,EnricoAl-Omari,Amereng2020-05-13T00:00:00Zoai:scielo:S0101-74382020000100203Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2020-05-13T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
title EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
spellingShingle EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
Al-Nasser,Amjad D.
extreme ranked set sampling
ranked set sampling
repetitive sampling
Shewhart control chart
average run length
title_short EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
title_full EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
title_fullStr EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
title_full_unstemmed EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
title_sort EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
author Al-Nasser,Amjad D.
author_facet Al-Nasser,Amjad D.
Ciavolino,Enrico
Al-Omari,Amer
author_role author
author2 Ciavolino,Enrico
Al-Omari,Amer
author2_role author
author
dc.contributor.author.fl_str_mv Al-Nasser,Amjad D.
Ciavolino,Enrico
Al-Omari,Amer
dc.subject.por.fl_str_mv extreme ranked set sampling
ranked set sampling
repetitive sampling
Shewhart control chart
average run length
topic extreme ranked set sampling
ranked set sampling
repetitive sampling
Shewhart control chart
average run length
description ABSTRACT In this paper, we proposed a new ranked data control chart using repetitive sampling criterion to increase the performance of detecting any shift in mean process. For the comparisons target, the average run length (ARL) of the proposed control chart based on repetitive extreme ranked set sampling computed using exact and estimated parameters. The results showed that the ARL affected negatively by the parameter estimation. Moreover, the performances of the proposed control chart is evaluated and compared with similar control chart that obtained by using different sampling schemes such as the simple random sampling, ranked set sampling, extreme ranked set sampling and repetitive ranked set sampling.. The results showed that the ranked data based control chart outperform the classical control chart in terms of the ARL.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S0101-74382020000100203
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382020000100203
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0101-7438.2020.040.00226135
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.40 2020
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
_version_ 1750318018439675904