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2. Acceptance sampling - Wikipedia

   en.wikipedia.org/wiki/Acceptance_sampling

   In general, acceptance sampling is employed when one or several of the following hold: [2] testing is destructive; the cost of 100% inspection is very high; and; 100% inspection takes too long. A wide variety of acceptance sampling plans is available. For example, multiple sampling plans use more than two samples to reach a conclusion.

3. Production part approval process - Wikipedia

   en.wikipedia.org/wiki/Production_part_approval...

   A copy of the AAI (Appearance Approval Inspection) form signed by the customer. Applicable for components affecting appearance only. Sample Production Parts A sample from the same lot of initial production run. The PPAP package usually shows a picture of the sample and where it is kept (customer or supplier). Master Sample

4. Acceptable quality limit - Wikipedia

   en.wikipedia.org/wiki/Acceptable_quality_limit

   The acceptable quality limit (AQL) is the worst tolerable process average (mean) in percentage or ratio that is still considered acceptable; that is, it is at an acceptable quality level. [1]

5. Variables sampling plan - Wikipedia

   en.wikipedia.org/wiki/Variables_sampling_plan

   In statistics, a variables sampling plan is an acceptance sampling technique. Plans for variables are intended for quality characteristics that are measured on a continuous scale. This plan requires the knowledge of the statistical model (e.g. normal distribution ).

6. Lot quality assurance sampling - Wikipedia

   en.wikipedia.org/wiki/Lot_Quality_Assurance_Sampling

   Lot quality assurance sampling (LQAS) is a random sampling methodology, originally developed in the 1920s [1] as a method of quality control in industrial production. Compared to similar sampling techniques like stratified and cluster sampling, LQAS provides less information but often requires substantially smaller sample sizes.

7. p-chart - Wikipedia

   en.wikipedia.org/wiki/P-chart

   [2]: 277 If the organization elects to only inspect a fraction of units produced, the sample size should be chosen large enough so that the chance of finding at least one nonconforming unit in a sample is high—otherwise the false alarm rate is too high. One technique is to fix sample size so that there is a 50% chance of detecting a process ...