Loading…

Control charts for the shape parameter of reflected power function distribution under classical estimators

The reflected power function distribution (RPFD) has applications in the fields of reliability engineering and survival analysis. To identify and remove the variation in different reliability processes and also to monitor the reliability of machines where the number of errors follows RPFD, we develo...

Full description

Saved in:
Bibliographic Details
Published in:Quality and reliability engineering international 2021-10, Vol.37 (6), p.2458-2477
Main Authors: Zaka, Azam, Akhter, Ahmad Saeed, Jabeen, Riffat, Sanaullah, Aamir
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c2936-28ed6ece93c7004aff5d1b5d01dfe74dfd033f73deb67841621318167f7589873
cites cdi_FETCH-LOGICAL-c2936-28ed6ece93c7004aff5d1b5d01dfe74dfd033f73deb67841621318167f7589873
container_end_page 2477
container_issue 6
container_start_page 2458
container_title Quality and reliability engineering international
container_volume 37
creator Zaka, Azam
Akhter, Ahmad Saeed
Jabeen, Riffat
Sanaullah, Aamir
description The reflected power function distribution (RPFD) has applications in the fields of reliability engineering and survival analysis. To identify and remove the variation in different reliability processes and also to monitor the reliability of machines where the number of errors follows RPFD, we develop control charts to keep the process in control. A memory less control chart like a Shewhart control chart, and two memory‐based control charts like an exponentially weighted moving average (EWMA) control chart and a hybrid exponentially weighted moving average (HEWMA) control chart are discussed and compared with each other. Proposal of these control charts is based on two different estimators, the percentile estimator (PE) and the modified maximum likelihood estimator (MMLE). This study shows that an HEWMA control chart based on PE performs better than PE‐based Shewhart and EWMA control charts, as well as MMLE‐based Shewhart, EWMA, and HEWMA control charts.
doi_str_mv 10.1002/qre.2866
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2572811970</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2572811970</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2936-28ed6ece93c7004aff5d1b5d01dfe74dfd033f73deb67841621318167f7589873</originalsourceid><addsrcrecordid>eNp1kE9LAzEQxYMoWKvgRwh48bI12ewm2aOU-gcKoug5pMmEbtlutkmW0m9v2nr1NMzMj3lvHkL3lMwoIeXTLsCslJxfoAklTVNQzuQlmhBRyUISKq7RTYwbQjLcyAnazH2fgu-wWeuQInY-4LQGHNd6ADzooLeQIGDvcADXgUlg8eD3eeTG3qTW99i2MYV2NZ6asbd5ZzodY2t0hyGmdquTD_EWXTndRbj7q1P087L4nr8Vy4_X9_nzsjBlw3hRSrAcDDTMCEIq7Vxt6aq2hFoHorLOEsacYBZWXMiK8pIyKikXTtSykYJN0cP57hD8bsz6auPH0GdJVdailJQ2gmTq8UyZ4GPMv6khZKPhoChRxyRVTlIdk8xocUb3bQeHfzn1-bU48b-D23Z3</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2572811970</pqid></control><display><type>article</type><title>Control charts for the shape parameter of reflected power function distribution under classical estimators</title><source>Wiley-Blackwell Read &amp; Publish Collection</source><creator>Zaka, Azam ; Akhter, Ahmad Saeed ; Jabeen, Riffat ; Sanaullah, Aamir</creator><creatorcontrib>Zaka, Azam ; Akhter, Ahmad Saeed ; Jabeen, Riffat ; Sanaullah, Aamir</creatorcontrib><description>The reflected power function distribution (RPFD) has applications in the fields of reliability engineering and survival analysis. To identify and remove the variation in different reliability processes and also to monitor the reliability of machines where the number of errors follows RPFD, we develop control charts to keep the process in control. A memory less control chart like a Shewhart control chart, and two memory‐based control charts like an exponentially weighted moving average (EWMA) control chart and a hybrid exponentially weighted moving average (HEWMA) control chart are discussed and compared with each other. Proposal of these control charts is based on two different estimators, the percentile estimator (PE) and the modified maximum likelihood estimator (MMLE). This study shows that an HEWMA control chart based on PE performs better than PE‐based Shewhart and EWMA control charts, as well as MMLE‐based Shewhart, EWMA, and HEWMA control charts.</description><identifier>ISSN: 0748-8017</identifier><identifier>EISSN: 1099-1638</identifier><identifier>DOI: 10.1002/qre.2866</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>62P30 ; Control charts ; Electric power distribution ; EWMA control chart ; HEWMA control chart ; Maximum likelihood estimators ; modified maximum likelihood estimator ; percentile estimator ; reflected power function distribution ; Reliability analysis ; Reliability engineering ; Survival analysis</subject><ispartof>Quality and reliability engineering international, 2021-10, Vol.37 (6), p.2458-2477</ispartof><rights>2021 John Wiley &amp; Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2936-28ed6ece93c7004aff5d1b5d01dfe74dfd033f73deb67841621318167f7589873</citedby><cites>FETCH-LOGICAL-c2936-28ed6ece93c7004aff5d1b5d01dfe74dfd033f73deb67841621318167f7589873</cites><orcidid>0000-0003-1461-0611</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Zaka, Azam</creatorcontrib><creatorcontrib>Akhter, Ahmad Saeed</creatorcontrib><creatorcontrib>Jabeen, Riffat</creatorcontrib><creatorcontrib>Sanaullah, Aamir</creatorcontrib><title>Control charts for the shape parameter of reflected power function distribution under classical estimators</title><title>Quality and reliability engineering international</title><description>The reflected power function distribution (RPFD) has applications in the fields of reliability engineering and survival analysis. To identify and remove the variation in different reliability processes and also to monitor the reliability of machines where the number of errors follows RPFD, we develop control charts to keep the process in control. A memory less control chart like a Shewhart control chart, and two memory‐based control charts like an exponentially weighted moving average (EWMA) control chart and a hybrid exponentially weighted moving average (HEWMA) control chart are discussed and compared with each other. Proposal of these control charts is based on two different estimators, the percentile estimator (PE) and the modified maximum likelihood estimator (MMLE). This study shows that an HEWMA control chart based on PE performs better than PE‐based Shewhart and EWMA control charts, as well as MMLE‐based Shewhart, EWMA, and HEWMA control charts.</description><subject>62P30</subject><subject>Control charts</subject><subject>Electric power distribution</subject><subject>EWMA control chart</subject><subject>HEWMA control chart</subject><subject>Maximum likelihood estimators</subject><subject>modified maximum likelihood estimator</subject><subject>percentile estimator</subject><subject>reflected power function distribution</subject><subject>Reliability analysis</subject><subject>Reliability engineering</subject><subject>Survival analysis</subject><issn>0748-8017</issn><issn>1099-1638</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LAzEQxYMoWKvgRwh48bI12ewm2aOU-gcKoug5pMmEbtlutkmW0m9v2nr1NMzMj3lvHkL3lMwoIeXTLsCslJxfoAklTVNQzuQlmhBRyUISKq7RTYwbQjLcyAnazH2fgu-wWeuQInY-4LQGHNd6ADzooLeQIGDvcADXgUlg8eD3eeTG3qTW99i2MYV2NZ6asbd5ZzodY2t0hyGmdquTD_EWXTndRbj7q1P087L4nr8Vy4_X9_nzsjBlw3hRSrAcDDTMCEIq7Vxt6aq2hFoHorLOEsacYBZWXMiK8pIyKikXTtSykYJN0cP57hD8bsz6auPH0GdJVdailJQ2gmTq8UyZ4GPMv6khZKPhoChRxyRVTlIdk8xocUb3bQeHfzn1-bU48b-D23Z3</recordid><startdate>202110</startdate><enddate>202110</enddate><creator>Zaka, Azam</creator><creator>Akhter, Ahmad Saeed</creator><creator>Jabeen, Riffat</creator><creator>Sanaullah, Aamir</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><orcidid>https://orcid.org/0000-0003-1461-0611</orcidid></search><sort><creationdate>202110</creationdate><title>Control charts for the shape parameter of reflected power function distribution under classical estimators</title><author>Zaka, Azam ; Akhter, Ahmad Saeed ; Jabeen, Riffat ; Sanaullah, Aamir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2936-28ed6ece93c7004aff5d1b5d01dfe74dfd033f73deb67841621318167f7589873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>62P30</topic><topic>Control charts</topic><topic>Electric power distribution</topic><topic>EWMA control chart</topic><topic>HEWMA control chart</topic><topic>Maximum likelihood estimators</topic><topic>modified maximum likelihood estimator</topic><topic>percentile estimator</topic><topic>reflected power function distribution</topic><topic>Reliability analysis</topic><topic>Reliability engineering</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zaka, Azam</creatorcontrib><creatorcontrib>Akhter, Ahmad Saeed</creatorcontrib><creatorcontrib>Jabeen, Riffat</creatorcontrib><creatorcontrib>Sanaullah, Aamir</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><jtitle>Quality and reliability engineering international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zaka, Azam</au><au>Akhter, Ahmad Saeed</au><au>Jabeen, Riffat</au><au>Sanaullah, Aamir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Control charts for the shape parameter of reflected power function distribution under classical estimators</atitle><jtitle>Quality and reliability engineering international</jtitle><date>2021-10</date><risdate>2021</risdate><volume>37</volume><issue>6</issue><spage>2458</spage><epage>2477</epage><pages>2458-2477</pages><issn>0748-8017</issn><eissn>1099-1638</eissn><abstract>The reflected power function distribution (RPFD) has applications in the fields of reliability engineering and survival analysis. To identify and remove the variation in different reliability processes and also to monitor the reliability of machines where the number of errors follows RPFD, we develop control charts to keep the process in control. A memory less control chart like a Shewhart control chart, and two memory‐based control charts like an exponentially weighted moving average (EWMA) control chart and a hybrid exponentially weighted moving average (HEWMA) control chart are discussed and compared with each other. Proposal of these control charts is based on two different estimators, the percentile estimator (PE) and the modified maximum likelihood estimator (MMLE). This study shows that an HEWMA control chart based on PE performs better than PE‐based Shewhart and EWMA control charts, as well as MMLE‐based Shewhart, EWMA, and HEWMA control charts.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/qre.2866</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-1461-0611</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0748-8017
ispartof Quality and reliability engineering international, 2021-10, Vol.37 (6), p.2458-2477
issn 0748-8017
1099-1638
language eng
recordid cdi_proquest_journals_2572811970
source Wiley-Blackwell Read & Publish Collection
subjects 62P30
Control charts
Electric power distribution
EWMA control chart
HEWMA control chart
Maximum likelihood estimators
modified maximum likelihood estimator
percentile estimator
reflected power function distribution
Reliability analysis
Reliability engineering
Survival analysis
title Control charts for the shape parameter of reflected power function distribution under classical estimators
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T09%3A03%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Control%20charts%20for%20the%20shape%20parameter%20of%20reflected%20power%20function%20distribution%20under%20classical%20estimators&rft.jtitle=Quality%20and%20reliability%20engineering%20international&rft.au=Zaka,%20Azam&rft.date=2021-10&rft.volume=37&rft.issue=6&rft.spage=2458&rft.epage=2477&rft.pages=2458-2477&rft.issn=0748-8017&rft.eissn=1099-1638&rft_id=info:doi/10.1002/qre.2866&rft_dat=%3Cproquest_cross%3E2572811970%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2936-28ed6ece93c7004aff5d1b5d01dfe74dfd033f73deb67841621318167f7589873%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2572811970&rft_id=info:pmid/&rfr_iscdi=true