The Evaluation of H 106 Continuous Sampling Plans under the Assumption of Worst Conditions

Dodge-type continuous sampling plans are used to screen mass produced items so that long run quality requirements will be met. The choice of a particular Dodge-type plan is often based on the plan's aoql, the long run proportion of defectives that remains in the output after inspection under th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the American Statistical Association 1966-09, Vol.61 (315), p.833-841
1. Verfasser: White, Leon S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 841
container_issue 315
container_start_page 833
container_title Journal of the American Statistical Association
container_volume 61
creator White, Leon S.
description Dodge-type continuous sampling plans are used to screen mass produced items so that long run quality requirements will be met. The choice of a particular Dodge-type plan is often based on the plan's aoql, the long run proportion of defectives that remains in the output after inspection under the assumption that the production process is in a "state of statistical control." Another measure by which a plan can be evaluated is the uaoql, the long run proportion of defectives remaining under the assumption that the production process operates in the worst possible way relative to the plan. This paper presents five graphs that can be used to provide uaoql values for a large number of h 106 plans. The linear program used to calculate these graphs is also included.
doi_str_mv 10.1080/01621459.1966.10480910
format Article
fullrecord <record><control><sourceid>jstor_infor</sourceid><recordid>TN_cdi_jstor_primary_10_2307_2282792</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>2282792</jstor_id><sourcerecordid>2282792</sourcerecordid><originalsourceid>FETCH-LOGICAL-c340t-f7ba170b926bc76b1448b931c6712bbcde34a9519dd51a2a93923a3f50e824423</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMoWKt_QXLwujWTZJPNsZRqhYKCFcVLyH7plt2kJFml_95dasGbcxkY3ucdeBC6BjIDkpFbAoICT9UMlBDDiWdEATlBE0iZTKjkb6doMoaSMXWOLkLYkmFklk3Q--azwssv0_YmNs5iV-MVBiLwwtnY2N71AT-bbtc29gM_tcYG3Nuy8jgO3DyEvtsduVfnQxy5shlP4RKd1aYN1dXvnqKXu-VmsUrWj_cPi_k6KRgnMallbkCSXFGRF1LkwHmWKwaFkEDzvCgrxo1KQZVlCoYaxRRlhtUpqTLKOWVTJA69hXch-KrWO990xu81ED0a0kdDejSkj4YG8OYAbkN0_i9FGZGa0oxKNfbPD7HG1s535tv5ttTR7Fvna29s0QTN_nn1A055eFk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>The Evaluation of H 106 Continuous Sampling Plans under the Assumption of Worst Conditions</title><source>JSTOR</source><source>JSTOR Mathematics &amp; Statistics Collection</source><creator>White, Leon S.</creator><creatorcontrib>White, Leon S.</creatorcontrib><description>Dodge-type continuous sampling plans are used to screen mass produced items so that long run quality requirements will be met. The choice of a particular Dodge-type plan is often based on the plan's aoql, the long run proportion of defectives that remains in the output after inspection under the assumption that the production process is in a "state of statistical control." Another measure by which a plan can be evaluated is the uaoql, the long run proportion of defectives remaining under the assumption that the production process operates in the worst possible way relative to the plan. This paper presents five graphs that can be used to provide uaoql values for a large number of h 106 plans. The linear program used to calculate these graphs is also included.</description><identifier>ISSN: 0162-1459</identifier><identifier>EISSN: 1537-274X</identifier><identifier>DOI: 10.1080/01621459.1966.10480910</identifier><language>eng</language><publisher>Taylor &amp; Francis Group</publisher><subject>Inspection reports ; Mathematical procedures ; Production engineering ; Proportions ; Quality assurance ; Statistical process control ; Statistics</subject><ispartof>Journal of the American Statistical Association, 1966-09, Vol.61 (315), p.833-841</ispartof><rights>Copyright Taylor &amp; Francis Group, LLC 1966</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-f7ba170b926bc76b1448b931c6712bbcde34a9519dd51a2a93923a3f50e824423</citedby><cites>FETCH-LOGICAL-c340t-f7ba170b926bc76b1448b931c6712bbcde34a9519dd51a2a93923a3f50e824423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2282792$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/2282792$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,828,27901,27902,57992,57996,58225,58229</link.rule.ids></links><search><creatorcontrib>White, Leon S.</creatorcontrib><title>The Evaluation of H 106 Continuous Sampling Plans under the Assumption of Worst Conditions</title><title>Journal of the American Statistical Association</title><description>Dodge-type continuous sampling plans are used to screen mass produced items so that long run quality requirements will be met. The choice of a particular Dodge-type plan is often based on the plan's aoql, the long run proportion of defectives that remains in the output after inspection under the assumption that the production process is in a "state of statistical control." Another measure by which a plan can be evaluated is the uaoql, the long run proportion of defectives remaining under the assumption that the production process operates in the worst possible way relative to the plan. This paper presents five graphs that can be used to provide uaoql values for a large number of h 106 plans. The linear program used to calculate these graphs is also included.</description><subject>Inspection reports</subject><subject>Mathematical procedures</subject><subject>Production engineering</subject><subject>Proportions</subject><subject>Quality assurance</subject><subject>Statistical process control</subject><subject>Statistics</subject><issn>0162-1459</issn><issn>1537-274X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1966</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWKt_QXLwujWTZJPNsZRqhYKCFcVLyH7plt2kJFml_95dasGbcxkY3ucdeBC6BjIDkpFbAoICT9UMlBDDiWdEATlBE0iZTKjkb6doMoaSMXWOLkLYkmFklk3Q--azwssv0_YmNs5iV-MVBiLwwtnY2N71AT-bbtc29gM_tcYG3Nuy8jgO3DyEvtsduVfnQxy5shlP4RKd1aYN1dXvnqKXu-VmsUrWj_cPi_k6KRgnMallbkCSXFGRF1LkwHmWKwaFkEDzvCgrxo1KQZVlCoYaxRRlhtUpqTLKOWVTJA69hXch-KrWO990xu81ED0a0kdDejSkj4YG8OYAbkN0_i9FGZGa0oxKNfbPD7HG1s535tv5ttTR7Fvna29s0QTN_nn1A055eFk</recordid><startdate>19660901</startdate><enddate>19660901</enddate><creator>White, Leon S.</creator><general>Taylor &amp; Francis Group</general><general>American Statistical Association</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19660901</creationdate><title>The Evaluation of H 106 Continuous Sampling Plans under the Assumption of Worst Conditions</title><author>White, Leon S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-f7ba170b926bc76b1448b931c6712bbcde34a9519dd51a2a93923a3f50e824423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1966</creationdate><topic>Inspection reports</topic><topic>Mathematical procedures</topic><topic>Production engineering</topic><topic>Proportions</topic><topic>Quality assurance</topic><topic>Statistical process control</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>White, Leon S.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of the American Statistical Association</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>White, Leon S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Evaluation of H 106 Continuous Sampling Plans under the Assumption of Worst Conditions</atitle><jtitle>Journal of the American Statistical Association</jtitle><date>1966-09-01</date><risdate>1966</risdate><volume>61</volume><issue>315</issue><spage>833</spage><epage>841</epage><pages>833-841</pages><issn>0162-1459</issn><eissn>1537-274X</eissn><abstract>Dodge-type continuous sampling plans are used to screen mass produced items so that long run quality requirements will be met. The choice of a particular Dodge-type plan is often based on the plan's aoql, the long run proportion of defectives that remains in the output after inspection under the assumption that the production process is in a "state of statistical control." Another measure by which a plan can be evaluated is the uaoql, the long run proportion of defectives remaining under the assumption that the production process operates in the worst possible way relative to the plan. This paper presents five graphs that can be used to provide uaoql values for a large number of h 106 plans. The linear program used to calculate these graphs is also included.</abstract><pub>Taylor &amp; Francis Group</pub><doi>10.1080/01621459.1966.10480910</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0162-1459
ispartof Journal of the American Statistical Association, 1966-09, Vol.61 (315), p.833-841
issn 0162-1459
1537-274X
language eng
recordid cdi_jstor_primary_10_2307_2282792
source JSTOR; JSTOR Mathematics & Statistics Collection
subjects Inspection reports
Mathematical procedures
Production engineering
Proportions
Quality assurance
Statistical process control
Statistics
title The Evaluation of H 106 Continuous Sampling Plans under the Assumption of Worst Conditions
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T17%3A41%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Evaluation%20of%20H%20106%20Continuous%20Sampling%20Plans%20under%20the%20Assumption%20of%20Worst%20Conditions&rft.jtitle=Journal%20of%20the%20American%20Statistical%20Association&rft.au=White,%20Leon%20S.&rft.date=1966-09-01&rft.volume=61&rft.issue=315&rft.spage=833&rft.epage=841&rft.pages=833-841&rft.issn=0162-1459&rft.eissn=1537-274X&rft_id=info:doi/10.1080/01621459.1966.10480910&rft_dat=%3Cjstor_infor%3E2282792%3C/jstor_infor%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_jstor_id=2282792&rfr_iscdi=true