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

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dc.creator Rao, Srinivasa G.
dc.creator Aslam, Muhammad
dc.creator Jun, Chi-Hyuck
dc.date 2021-05-04T06:44:04Z
dc.date 2021-05-04T06:44:04Z
dc.date 2019
dc.date.accessioned 2022-10-20T13:25:32Z
dc.date.available 2022-10-20T13:25:32Z
dc.identifier http://hdl.handle.net/20.500.12661/2900
dc.identifier.uri http://hdl.handle.net/20.500.12661/2900
dc.description Abstract. Full text is available at https://doi.org/10.1080/03610918.2019.1612431
dc.description In 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.subject Inspection
dc.subject Lot sentencing
dc.subject Risk
dc.subject Multiple dependent state
dc.subject GMDS
dc.subject Process Capability Index
dc.subject PCI
dc.subject Average sample number
dc.subject Generalized multiple dependent state
dc.title A variable sampling plan using generalized multiple dependent state based on a one-sided process capability index


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