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Article: A quality monitoring and decision-making scheme for automated production processes

TitleA quality monitoring and decision-making scheme for automated production processes
Authors
KeywordsAttribute control charts
Automated operations
Process improvement
Statistical process control
Issue Date1999
PublisherEmerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/ijqrm.htm
Citation
International Journal of Quality & Reliability Management, 1999, v. 16 n. 2, p. 148-157 How to Cite?
AbstractTraditional attribute control charts are based on the monitoring of the number of nonconforming items in a sample of fixed size. In modern manufacturing processes, since items can be checked automatically, use of samples of a fixed subjective size with traditional charts is not suitable for on‐line continuous inspection. Furthermore, the sample size usually has to be large when the process fraction nonconforming is not reasonably high. If a decision is to be made only when a sufficient number of items are manufactured and inspected, many nonconforming items might have been produced. In this paper, a control scheme is presented based on the monitoring of cumulative counts of items inspected. This procedure will limit the number of consecutive nonconforming items to a small value when the process has suddenly deteriorated, can detect a sudden process shift quickly and is suitable for continuous inspection processes. The exact probability control limits are derived and the implementation procedure is described.
Persistent Identifierhttp://hdl.handle.net/10722/74219
ISSN
2015 SCImago Journal Rankings: 0.544

 

DC FieldValueLanguage
dc.contributor.authorXie, M-
dc.contributor.authorLu, XS-
dc.contributor.authorGoh, TN-
dc.contributor.authorChan, LY-
dc.date.accessioned2010-09-06T06:59:08Z-
dc.date.available2010-09-06T06:59:08Z-
dc.date.issued1999-
dc.identifier.citationInternational Journal of Quality & Reliability Management, 1999, v. 16 n. 2, p. 148-157-
dc.identifier.issn0265-671X-
dc.identifier.urihttp://hdl.handle.net/10722/74219-
dc.description.abstractTraditional attribute control charts are based on the monitoring of the number of nonconforming items in a sample of fixed size. In modern manufacturing processes, since items can be checked automatically, use of samples of a fixed subjective size with traditional charts is not suitable for on‐line continuous inspection. Furthermore, the sample size usually has to be large when the process fraction nonconforming is not reasonably high. If a decision is to be made only when a sufficient number of items are manufactured and inspected, many nonconforming items might have been produced. In this paper, a control scheme is presented based on the monitoring of cumulative counts of items inspected. This procedure will limit the number of consecutive nonconforming items to a small value when the process has suddenly deteriorated, can detect a sudden process shift quickly and is suitable for continuous inspection processes. The exact probability control limits are derived and the implementation procedure is described.-
dc.languageeng-
dc.publisherEmerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/ijqrm.htm-
dc.relation.ispartofInternational Journal of Quality & Reliability Management-
dc.rightsThis article is © Emerald Group Publishing and permission has been granted for this version to appear here (please insert the web address here). Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.-
dc.subjectAttribute control charts-
dc.subjectAutomated operations-
dc.subjectProcess improvement-
dc.subjectStatistical process control-
dc.titleA quality monitoring and decision-making scheme for automated production processes-
dc.typeArticle-
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0265-671X&volume=16&issue=2&spage=148&epage=157&date=1999&atitle=A+quality+monitoring+and+decision-making+scheme+for+automated+production+processesen_HK
dc.identifier.emailChan, LY: plychan@hku.hk-
dc.identifier.authorityChan, LY=rp00093-
dc.identifier.doi10.1108/02656719910218238-
dc.identifier.scopuseid_2-s2.0-0000405677-
dc.identifier.hkuros46728-
dc.identifier.volume16-
dc.identifier.issue2-
dc.identifier.spage148-
dc.identifier.epage157-
dc.publisher.placeUnited Kingdom-

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