Efficient Control Charts for Monitoring Process CV Using Auxiliary Information

<p dir="ltr">Coefficient of variation (CV) control charts are a suitable choice for the monitoring of variation in cases when the process standard deviation is proportional to the process mean. This study is aimed at enhancing the detection ability of usual CV chart by incorporating...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Saddam Akbar Abbasi (13281939) (author)
منشور في: 2020
الموضوعات:
الوسوم: إضافة وسم
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author Saddam Akbar Abbasi (13281939)
author_facet Saddam Akbar Abbasi (13281939)
author_role author
dc.creator.none.fl_str_mv Saddam Akbar Abbasi (13281939)
dc.date.none.fl_str_mv 2020-03-02T00:00:00Z
dc.identifier.none.fl_str_mv 10.1109/access.2020.2977833
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Efficient_Control_Charts_for_Monitoring_Process_CV_Using_Auxiliary_Information/24025197
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Mathematical sciences
Statistics
Control charts
Monitoring
Process control
Standards
Correlation
Gaussian distribution
Dispersion
Coefficient of variation
Control chart
Power
Air quality
dc.title.none.fl_str_mv Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Coefficient of variation (CV) control charts are a suitable choice for the monitoring of variation in cases when the process standard deviation is proportional to the process mean. This study is aimed at enhancing the detection ability of usual CV chart by incorporating the use of auxiliary information. In recent years, researchers investigated the use of auxiliary information for improving the sensitivity of location and dispersion charts. However, no study has investigated the CV control charts in presence of auxiliary information. In this study, I propose and investigate a set of auxiliary information based charts for efficient monitoring of process CV by considering a variety of CV estimators. The auxiliary information is used in terms of regression, ratio and hybrid forms. A real life example concerning the monitoring of air quality is also presented to illustrate the application of proposed charts.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2020.2977833" target="_blank">https://dx.doi.org/10.1109/access.2020.2977833</a></p>
eu_rights_str_mv openAccess
id Manara2_5cd4afb678f61577a08677bf097a0843
identifier_str_mv 10.1109/access.2020.2977833
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/24025197
publishDate 2020
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Efficient Control Charts for Monitoring Process CV Using Auxiliary InformationSaddam Akbar Abbasi (13281939)Mathematical sciencesStatisticsControl chartsMonitoringProcess controlStandardsCorrelationGaussian distributionDispersionCoefficient of variationControl chartPowerAir quality<p dir="ltr">Coefficient of variation (CV) control charts are a suitable choice for the monitoring of variation in cases when the process standard deviation is proportional to the process mean. This study is aimed at enhancing the detection ability of usual CV chart by incorporating the use of auxiliary information. In recent years, researchers investigated the use of auxiliary information for improving the sensitivity of location and dispersion charts. However, no study has investigated the CV control charts in presence of auxiliary information. In this study, I propose and investigate a set of auxiliary information based charts for efficient monitoring of process CV by considering a variety of CV estimators. The auxiliary information is used in terms of regression, ratio and hybrid forms. A real life example concerning the monitoring of air quality is also presented to illustrate the application of proposed charts.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2020.2977833" target="_blank">https://dx.doi.org/10.1109/access.2020.2977833</a></p>2020-03-02T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2020.2977833https://figshare.com/articles/journal_contribution/Efficient_Control_Charts_for_Monitoring_Process_CV_Using_Auxiliary_Information/24025197CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240251972020-03-02T00:00:00Z
spellingShingle Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
Saddam Akbar Abbasi (13281939)
Mathematical sciences
Statistics
Control charts
Monitoring
Process control
Standards
Correlation
Gaussian distribution
Dispersion
Coefficient of variation
Control chart
Power
Air quality
status_str publishedVersion
title Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
title_full Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
title_fullStr Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
title_full_unstemmed Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
title_short Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
title_sort Efficient Control Charts for Monitoring Process CV Using Auxiliary Information
topic Mathematical sciences
Statistics
Control charts
Monitoring
Process control
Standards
Correlation
Gaussian distribution
Dispersion
Coefficient of variation
Control chart
Power
Air quality