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Title: Measurement Risk Analysis Methods
Author: Dennis Jackson
Source: 2005 Measurement Science Conference
Year Published: 2005
Abstract: Risk analysis is generally used to defend the need for calibration. By the use of risk analysis, one can show that calibration to maintain an acceptable level of measurement uncertainty also lowers the probability of making bad test decisions. Since bad test decisions have a directly measurable consequence in terms of unnecessary maintenance dollars and lowered system reliability, metrology personnel can directly demonstrate the benefit of calibration. When test instruments are used to determine if a unit under test (UUT) is in tolerance, incorrect decisions can be made. These errors can result in an out of tolerance UUT being accepted, or an in tolerance UUT being rejected. Both of these incorrect decisions have economic and operational consequences. Estimating the probability of making incorrect decisions in a tolerance testing scenario is called measurement risk analysis. This paper develops the mathematics for calculating the probabilities in the test decision matrix.

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