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dc.contributor.authorPearn, W. L.en_US
dc.contributor.authorWu, C. H.en_US
dc.date.accessioned2014-12-08T15:31:12Z-
dc.date.available2014-12-08T15:31:12Z-
dc.date.issued2013-07-01en_US
dc.identifier.issn0748-8017en_US
dc.identifier.urihttp://dx.doi.org/10.1002/qre.1423en_US
dc.identifier.urihttp://hdl.handle.net/11536/22220-
dc.description.abstractProduct acceptance determinations are practical tools for quality control applications involving quality contract on product orders between the vendor and the buyer. It provides the vendor and the buyer rules for product acceptance to meet the preset product quality requirement. As the rapid advancement of manufacturing technology, more than one quality characteristic must be simultaneously considered to improve the product quality because of the product design. In this article, we introduce an efficient product acceptance procedure on the basis of the generalization C-pk(T) index, to deal with lot sentencing problem with very low fraction of defectives. We tabulate the required sample size n and the corresponding critical acceptance value c(0) for various alpha-risk, beta-risk, and the levels of the lot fraction of defectives that correspond to acceptance and rejecting quality levels. Practitioners can use the proposed method to make reliable decisions in product acceptance. Copyright (C) 2012 John Wiley & Sons, Ltd.en_US
dc.language.isoen_USen_US
dc.subjectcritical acceptance valueen_US
dc.subjectmultiple characteristicsen_US
dc.subjectproduct acceptance determinationen_US
dc.subjectrequired sample sizeen_US
dc.titleA Close Form Solution for the Product Acceptance Determination Based on the Popular Index C-pken_US
dc.typeArticleen_US
dc.identifier.doi10.1002/qre.1423en_US
dc.identifier.journalQUALITY AND RELIABILITY ENGINEERING INTERNATIONALen_US
dc.citation.volume29en_US
dc.citation.issue5en_US
dc.citation.spage719en_US
dc.citation.epage723en_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:000322222600011-
dc.citation.woscount1-
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