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Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66841
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dc.contributor.authorMuhammad Aslam"en_US
dc.contributor.authorNasrullah Khanen_US
dc.contributor.authorHina Khanen_US
dc.date.accessioned2019-09-17T08:55:05Z-
dc.date.available2019-09-17T08:55:05Z-
dc.date.issued2015en_US
dc.identifier.citationChiang Mai Journal of Science 42, 1 (Jan 2015), 258 - 267en_US
dc.identifier.issn0125-2526en_US
dc.identifier.urihttp://it.science.cmu.ac.th/ejournal/dl.php?journal_id=5510en_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/66841-
dc.description.abstractIn this paper, we present the SkSP-V acceptance sampling plan based on process capability index. The plan parameters of the proposed plan are determined by satisfying the producer’s risk and the consumer’s risk by minimizing the average sample number (ASN). The efficiency of the proposed plan is discussed over the existing acceptance sampling plan. Tables are discussed with the help of amplified pressure sensor data.en_US
dc.language.isoEngen_US
dc.publisherScience Faculty of Chiang Mai Universityen_US
dc.subjectSkip-lot samplingen_US
dc.subjectprocess capability indexen_US
dc.subjectaverage sample numberen_US
dc.subjectoperating characteristic curveen_US
dc.titleSkSP-V Acceptance Sampling Plan based on Process Capability Indexen_US
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