Bayesian Sampling Inspection for Resubmitted Lots Under Gamma-Poisson Distribution

The present study proposes an attributes sampling plan under the gamma-Poisson distribution for the resubmitted lots. The design parameters of the proposed plan such as the sample number and the acceptance number are determined by using two points on operating characteristics curve such that both the producer's and the consumer's risks are satisfied for some specified values of acceptable quality level and rejectable quality level. The parameters are selected using the minimum average sample number criteria. Extensive tables are provided for some selected combinations of two quality levels and the results are explained with examples.