EXTREME RANKED REPETITIVE SAMPLING CONTROL CHARTS
| Main Author: | |
|---|---|
| Publication Date: | 2020 |
| Other Authors: | , |
| 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. |
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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 |
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Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
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SOBRAPO |
| institution |
SOBRAPO |
| reponame_str |
Pesquisa operacional (Online) |
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Pesquisa operacional (Online) |
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Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
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||sobrapo@sobrapo.org.br |
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1750318018439675904 |