ABSTRACT: In this paper, we propose a sequential sampling plan for truncated life test supposing that the lifetime of an item follows a generalized exponential distribution. We consider the median life of the item as quality parameter. We have observed the optimal sample size to guarantee the true median life is longer than a predefined life at a coveted levels of consumer's and producer's risks. The performance of the projected plan is examined through a virtual analysis with the repetitive acceptance sampling plan. The industrial utilization of these two sampling plans are represented in an example by taking real life data set.
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