A variable sampling plan using generalized multiple dependent state based on a one-sided process capability index

dc.contributor.authorRao, Srinivasa G.
dc.contributor.authorAslam, Muhammad
dc.contributor.authorJun, Chi-Hyuck
dc.date.accessioned2021-05-04T06:44:04Z
dc.date.available2021-05-04T06:44:04Z
dc.date.issued2019
dc.descriptionAbstract. Full text is available at https://doi.org/10.1080/03610918.2019.1612431en_US
dc.description.abstractIn this manuscript, a sampling plan based on one-sided process capability index is designed using the generalized multiple dependent state (GMDS) sampling. The operating characteristic function is developed using the exact distribution of the estimated PCI. The plan parameters of the proposed sampling plans are determined through the non-linear optimization problem at specified producer’s risk and consumer’s risk. An example is reported with the help of real data from the industry. The efficiency of the proposed sampling plan is compared with the existing multiple dependent state (MDS) sampling in terms of sample size.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2900
dc.subjectInspectionen_US
dc.subjectLot sentencingen_US
dc.subjectRisken_US
dc.subjectMultiple dependent stateen_US
dc.subjectGMDSen_US
dc.subjectProcess Capability Indexen_US
dc.subjectPCIen_US
dc.subjectAverage sample numberen_US
dc.subjectGeneralized multiple dependent stateen_US
dc.titleA variable sampling plan using generalized multiple dependent state based on a one-sided process capability indexen_US
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