Attribute Sampling Plans
John S. Lawson · 2021
This chapter illustrates how the AcceptanceSampling and acceptable quality level Schemes packages in R can be used both to create attribute sampling plans and sampling schemes and evaluate them. The sampling plan can both maximize the probability of rejecting lots with a higher proportion nonconforming than the agreed upon level, and it can maximize the probability of accepting lots that have the proportion nonconforming at or below the agreed upon level. The aim of double sampling plans is to reduce the average sample size and still have the same producer and customer risk points. An equivalently steep probability of acceptance curve can result from a double or multiple sampling plan with a lower average sample number. When a sampling scheme is utilized, there is more than one sampling plan and switching rules to dictate which sampling plan should be used at a particular time.