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

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dc.creatorRao, Srinivasa G.
dc.creatorAslam, Muhammad
dc.creatorJun, Chi-Hyuck
dc.date2021-05-04T06:44:04Z
dc.date2021-05-04T06:44:04Z
dc.date2019
dc.date.accessioned2022-10-20T13:25:32Z
dc.date.available2022-10-20T13:25:32Z
dc.descriptionAbstract. Full text is available at https://doi.org/10.1080/03610918.2019.1612431
dc.descriptionIn 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.
dc.identifierhttp://hdl.handle.net/20.500.12661/2900
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2900
dc.subjectInspection
dc.subjectLot sentencing
dc.subjectRisk
dc.subjectMultiple dependent state
dc.subjectGMDS
dc.subjectProcess Capability Index
dc.subjectPCI
dc.subjectAverage sample number
dc.subjectGeneralized multiple dependent state
dc.titleA variable sampling plan using generalized multiple dependent state based on a one-sided process capability index

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