Rectifying Inspection for Nonconforming Items and the Hald Linear Cost Model

Abstract

The Hald linear cost model is discussed with and without a beta prior for the distribution of the fraction of nonconforming items in a lot. For both situations, average outgoing quality limit plans, limiting quality level (lot tolerance percent defective) plans, and outgoing quality plans are considered. When a prior is used in the model, Bayesian plans are also considered. Under any of these conditions, it is shown how the desired sampling plan can be easily found with a computer.

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