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dc.contributor.authorLin, Chen-juen_US
dc.contributor.authorPearn, Wen Leaen_US
dc.date.accessioned2014-12-08T15:11:52Z-
dc.date.available2014-12-08T15:11:52Z-
dc.date.issued2011-04-01en_US
dc.identifier.issn0378-3758en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jspi.2010.11.013en_US
dc.identifier.urihttp://hdl.handle.net/11536/9109-
dc.description.abstractProducing qualified items or products is essential to meet the requirement preset by customers. Evaluation and selection of desired manufacturing lines become challenging tasks for decision makers. Production yield is one of the important factors in measuring production performance. The goal of this paper is to screen a group of manufacturing lines and identify the best one with the highest yield. For the production lines with extremely low fraction of defectives, the yield index, S(pk), is an efficient indicator for quality level. This paper considers the production selection problem by using S(pk) to compare k (k > 2) manufacturing lines. A subset is constructed to contain the production lines with the highest yield. A systematic approach of test order k compares selected pairs of manufacturing lines along with the Bonferroni method is proposed to solve this problem. Each pair of production yields is compared by taking ratio. The paper provides critical values and required sample sizes of the group selection procedure. An application example on evaluating four power inductor productions is presented to illustrate the practicality of the proposed approach. (C) 2010 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectGroup selectionen_US
dc.subjectProduction yielden_US
dc.subjectQuality managementen_US
dc.subjectBonferroni methoden_US
dc.titleGroup selection for production yield among k manufacturing linesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jspi.2010.11.013en_US
dc.identifier.journalJOURNAL OF STATISTICAL PLANNING AND INFERENCEen_US
dc.citation.volume141en_US
dc.citation.issue4en_US
dc.citation.spage1510en_US
dc.citation.epage1518en_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:000286960500014-
dc.citation.woscount3-
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