Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.607
DC FieldValue
dc.titleThe effect of correlation on chain sampling plans
dc.contributor.authorGao, Y.
dc.contributor.authorTang, L.-C.
dc.date.accessioned2014-06-17T07:03:09Z
dc.date.available2014-06-17T07:03:09Z
dc.date.issued2005-02
dc.identifier.citationGao, Y., Tang, L.-C. (2005-02). The effect of correlation on chain sampling plans. Quality and Reliability Engineering International 21 (1) : 51-61. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.607
dc.identifier.issn07488017
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63360
dc.description.abstractThe Dodge chain sampling plan (ChSP-1) and its extensions are very useful in situations where testing is either destructive or costly. Its underlying assumption is that all units to be inspected are from the same process and the quality characteristic of interest follows an identical independent distribution. Although this assumption makes the model relatively simple and easy to implement, it may not hold for today's manufacturing processes with high production volume, in which correlation exists between products within the same process. In this paper, we propose a Markov chain model for chain sampling plans to model the dependency (correlation) between testing units. To achieve this, we assume that product units within each sample follow a Markov chain model and assume that they are independent when they are from different lots. The resulting OC curves and AOQ curves show that the discriminating power of chain sampling plans improves when there is a negative correlation between product units and deteriorates when the correlation is positive. Copyright © 2004 John Wiley & Sons, Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/qre.607
dc.sourceScopus
dc.subjectAcceptance sampling
dc.subjectChain sampling plan
dc.subjectCorrelated production
dc.subjectMarkov chain
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1002/qre.607
dc.description.sourcetitleQuality and Reliability Engineering International
dc.description.volume21
dc.description.issue1
dc.description.page51-61
dc.description.codenQREIE
dc.identifier.isiut000227046200006
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