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A mixed double sampling plan based on C-pk

By S. Balamurali, M. Aslam, L. Ahmad and C.-H. Jun


Acceptance sampling plans are quality tools for the manufacturer and the customer. The ultimate result of reduction of nonconforming items will increase the profit of the manufacturer and enhance the satisfaction of the consumer. In this article, a mixed double sampling plan is proposed in which the attribute double sampling inspection is used in the first stage and a variables sampling plan based on the process capability index C-pk is used in the second stage. The optimal parameters are determined so that the producer's and the consumer's risks are to be satisfied with minimum average sample number. The optimal parameters of the proposed plan are estimated using different plan settings using two points on the operating characteristic curve approach. In designing the proposed mixed double sampling plan, we consider the symmetric and asymmetric nonconforming cases under variables inspection. The efficiency of the proposed plan is discussed and compared with the existing sampling plans. Tables are constructed for easy selection of the optimal plan parameters and an industrial example is also included for implementation of the proposed plan.1

Topics: Average sample numbers, Double sampling, Operating characteristics, Process capability indices, Sampling plans, Sampling, Process control, AQL, average sample number, double sampling plan, LQL, Mixed sampling plan, operating characteristic function, process capability index
Year: 2020
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Provided by: 포항공과대학교
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