完整後設資料紀錄
DC 欄位語言
dc.contributor.authorPearn, WLen_US
dc.contributor.authorWu, CWen_US
dc.date.accessioned2014-12-08T15:16:52Z-
dc.date.available2014-12-08T15:16:52Z-
dc.date.issued2006-04-01en_US
dc.identifier.issn0160-5682en_US
dc.identifier.urihttp://dx.doi.org/10.1057/palgrave.jors.2602013en_US
dc.identifier.urihttp://hdl.handle.net/11536/12400-
dc.description.abstractAcceptance sampling plans provide the vendor and the buyer decision rules for lot sentencing to meet their product quality needs. A problem the quality practitioners have to deal with is the determination of the critical acceptance values and inspection sample sizes that provide the desired levels of protection to both vendors and buyers. As today's modern quality improvement philosophy, reduction of variation from the target value is the guiding principle as well as reducing the fraction of defectives. The C-pm index adopts the concept of product loss, which distinguishes the product quality by setting increased penalty to products deviating from the target. In this paper, a variables sampling plan based on Cpm index is proposed to handle processes requiring very low parts per million (PPM) fraction of defectives with process loss consideration. We develop an effective method for obtaining the required sample sizes n and the critical acceptance value C-0 by solving simultaneously two nonlinear equations. Based on the designed sampling plan, the practitioners can determine the number of production items to be sampled for inspection and the corresponding critical acceptance value for lot sentencing.en_US
dc.language.isoen_USen_US
dc.subjectacceptance sampling plansen_US
dc.subjectdecision makingen_US
dc.subjectfraction of defectivesen_US
dc.subjectprobability density functionen_US
dc.subjectprocess capability indicesen_US
dc.subjectquality controlen_US
dc.titleVariables sampling plans with PPM fraction of defectives and process loss considerationen_US
dc.typeArticleen_US
dc.identifier.doi10.1057/palgrave.jors.2602013en_US
dc.identifier.journalJOURNAL OF THE OPERATIONAL RESEARCH SOCIETYen_US
dc.citation.volume57en_US
dc.citation.issue4en_US
dc.citation.spage450en_US
dc.citation.epage459en_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:000236131000013-
dc.citation.woscount18-
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