Abstract
The main objective of life test sampling plans developed under Type-I censoring, that is time truncation, is to make the decision about a lot with the minimum sample size for specified producer’s and consumer’s risks and mean life. In this article, we develop three new economical life test sampling plans by introducing a two-stage time-censoring scheme and making use of a modified exponentially weighted moving average statistic. From the comparison of life test sampling design parameters for generalized exponential and Weibull distributions, with a similar acceptance sampling plan in literature, we find the most economical life test sampling plan is the one that employs both above-mentioned scheme and statistic. We give two examples, including one real life example, to illustrate the performance of three new plans. Tables of life test sampling design parameters are simulated using software R.3.5.2.
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