Single and group acceptance sampling plans for Weibull and Pareto distribution

One of the most important statistical tools in production sector is the acceptance sampling plans. Because the producers want the protection of the quality of the products and minimum variability between the products. Acceptance sampling plans are not only preserving the producers’ benefit but also looking out for the consumers’ interest. The expected lifetime may be an important quality characteristic for some products. Then, the quality control sufficiency of the products can be controlled using a suitable survival test based on the acceptance sampling plans. In the industry, the acceptance sampling plans based on the survival test of the products’ lifetime are also called as reliability sampling plans. As the cost and time are limited, it might be impossible to continue the trial until the failure time of all products are observed. Therefore, the acceptance sampling plan based on survival test truncated with a censored scheme is used. In this study, single and group acceptance sampling plans based on truncated survival test using Type-I censoring are investigated for Weibull and Pareto distributions. Optimal sampling size and acceptance number are determined for some parameter values