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MIL-STD-105 was a United States defense standard that provided procedures and tables for sampling by attributes based on Walter A. Shewhart, Harry Romig, and Harold F. Dodge sampling inspection theories and mathematical formulas. Widely adopted outside of military procurement applications.
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.
Harold Dodge is universally known for his work in originating acceptance sampling plans for putting inspection operations on a scientific basis in terms of controllable risks. Dodge earned his B.S. in electrical engineering from M.I.T. in 1916 and his A.B. (master's degree) in physics from Columbia University in 1917.
A standard inspection procedure (or sometimes just 'SIP' [1] [2]) is a process by which a number of variables may be checked for compliance against a set of rules. SIPs are used by various organizations including the Commercial Vehicle Safety Alliance (CVSA) [3] [4] and the U.S. Department of Defense. [5] [6]
A First Article Inspection (FAI) is a production validation process for verifying that a new or modified production process produces conforming parts that meet the manufacturing specification detailed in technical or engineering drawings. Typically, a supplier performs the FAI and the purchaser reviews the report.
Appearance Approval Report 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 ...
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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.
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