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dc.contributor.authorPearn, WLen_US
dc.contributor.authorWu, CWen_US
dc.date.accessioned2014-12-08T15:17:40Z-
dc.date.available2014-12-08T15:17:40Z-
dc.date.issued2006-01-01en_US
dc.identifier.issn0305-0483en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.omega.2004.08.001en_US
dc.identifier.urihttp://hdl.handle.net/11536/12820-
dc.description.abstractAcceptance sampling plans are practical tools for quality control applications, which involve quality contracting on product orders between the vendor and the buyer. Those sampling plans provide the vendor and the buyer rules for lot sentencing while meeting their preset requirements on product quality. In this paper, we introduce a variables sampling plan for unilateral processes based on the one-sided process capability indices C-PU (or C-PL), to deal with lot sentencing problem with very low fraction of defectives. The proposed new sampling plan is developed based on the exact sampling distribution rather than approximation. Practitioners can use the proposed sampling plan to determine accurate number of product items to be inspected and the corresponding critical acceptance value, to make reliable decisions. We also tabulate the required sample size n and the corresponding critical acceptance value C-0 for various alpha-risks, beta-risks, and the levels of lot or process fraction of defectives that correspond to acceptable and rejecting quality levels. (c) 2004 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectacceptance sampling planen_US
dc.subjectcritical acceptance valueen_US
dc.subjectfraction of defectivesen_US
dc.subjectprocess capability indicesen_US
dc.titleCritical acceptance values and sample sizes of a variables sampling plan for very low fraction of detectivesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.omega.2004.08.001en_US
dc.identifier.journalOMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCEen_US
dc.citation.volume34en_US
dc.citation.issue1en_US
dc.citation.spage90en_US
dc.citation.epage101en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000232252700008-
dc.citation.woscount22-
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