Estimation of AQL, LQL and Quality Regions for Group Chain Sampling Plan with Binomial Distribution
Keywords:
Acceptance sampling, consumer’s risk, producer’s risk, proportion of defective, probability of lot acceptanceAbstract
Acceptance sampling is a technique for ensuring that both producers and consumers are satisfied with the quality of a product. This paper considers a group chain sampling plan (GChSP) using the binomial distribution. The probability of lot acceptance, is determined by satisfying the producer’s and consumer's risks under the specified design parameters. This paper proves that the proportion of defective decreases when the value of design parameters such as
and
increase. In this paper for specified values of producer’s and consumer’s risks, four different quality regions are estimated. The findings suggest that for the same values of design parameters the GChSP gives less proportion of defectives than the existing Bayesian group chain sampling plan (BGChSP). Therefore, the GChSP is better equipped for lot inspection in the manufacturing industry, especially those involved with destructive testing of high-quality products.
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