Abstract
A procedure is developed for designing rectifying sampling plans by attributes with a predetermined upper bound on the outgoing quality of the lots. These plans are derived so that the upper bound is satisfied with specified minimum probability regardless of the value of the process average. In addition, the average outgoing quality limit (AOQL) criterion is evaluated with respect to the probability bound concept. Computational procedures are presented that allow the design of sampling plans with user specified upper bounds with designated minimum probability 1 – α. A table is presented for determining sampling plans for the use of 1 – α = .95.
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