In material manufacturing applications, the lower percentiles of breaking strength of products contain critical reliability information. To promote the quality of product, it is important to ensure the lower percentiles of product breaking strength meet a satisfactory level. In this paper, two acceptance sampling plans are developed based on the percentiles of Weibull distribution and lognormal distribution with truncated life testing samples. An algorithm is provided to obtain acceptance sampling plans under the specified points of producer's risk and consumer's risk. Some tables are presented for numerical study, and an example of real data set regarding the first failure times of small electric carts used for internal transportation and delivery is provided for illustration.
International Journal of Reliability, Quality and Safety Engineering 19(1), p.1250004