Abstract

Abstract Reliability sampling plans are used in manufacturing industries to make decisions regarding the disposition of lots based on life testing of the product. Censoring schemes may be adopted in life testing in order to save on time and cost of life testing. The sampling plans are designed based on the respective probability distribution of the lifetime of the products under testing. Several works regarding the design of reliability sampling plans under various censoring schemes are found in the literature. Exponentiated exponential distribution has found applications in reliability and life testing, which is also considered as an alternative in these fields to Weibull and gamma distributions. In this article, reliability single sampling plans are designed under a hybrid censoring scheme, assuming that the lifetime is distributed according to an exponentiated exponential distribution. Plan parameters are determined using binomial probabilities that protect the interests of both producer and consumer. Performance of the exponentiated exponential sampling plans is compared with exponential sampling plans. Selection of the sampling plan for given requirements is illustrated through numerical examples.

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