Acceptance Sampling Plan Using Successive Sampling Over Two Successive Occasions

Abstract

Abstract In this study, a variable acceptance sampling plan (ASP) based on best linear unbiased estimator (BLUE) in successive sampling (SS) approach was designed. It was assumed that the underlying characteristic of interest follows normal distribution over the two succeeding occasions. The design of the proposed plan was presented for known and unknown sigma of normal distribution. The plan parameters were determined by using optimization approach for both situations, such that the provided consumer's and producer's risks are satisfied for the assigned values of acceptable quality level (AQL) and the limiting quality level (LQL). The efficiency of the proposed chart over the existing chart was discussed. The proposed plan was more efficient than the existing plan in terms of sample size. Industrial data were used for the application of the proposed sampling plan.

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