DETERMINATION OF VARIABLE SAMPLING PLANS FOR NON-NORMAL PROCESS THROUGH SKEWNESS AND KURTOSIS

In this paper contribution has been made in developing variable sampling plans for non-normal production process having loglogistic failure distribution. In industries many lifetime data are heavy tailed and follows non-normal pattern. The heavy tailed, log-logistic distribution has been used for analysis of sampling plans. In this paper, variable sampling plans and reliability sampling plans are developed and the efficiency measures such as operating characteristic OC function, ASN and AOQ have been provided. The variable sampling plans based on log-logistic distribution are designed through AQL and LQL with minimum angle technique. Tables are constructed for easy selection of the variable sampling plans to facilitate quality and reliability professionals. Key words: Variable sampling plans, reliability sampling plans, log-logistic distribution, non-normal process, minimum angle method.