1. Measurement Uncertainty (MU)
If you’ve ever worked on a carpentry project, you probably understand why the age-old adage measure twice cut once exist. Whether it’s a user error or a slight miscalculation, variations in measurement are common. Even the best measuring equipment under perfect conditions has a margin of error created by small uncontrollable and often undetectable factors. In the metrology world, we seek to quantify this doubt with a number known as measurement uncertainty (MU). Even though many of the factors are unpredictable and hard to control by themselves, our lab combines existing data, established mathematic formulas, and a series of tests to quantify and validate the possible effects of these factors. This process is called creating an uncertainty budget. MU is often denoted as a +/- value that will be taken into account throughout the entire calibration process. In the case of accredited certificates, MU will either be listed alongside the results or referenced in a footnote. For unaccredited certificates, MU is often unlisted and not taken into account.
Since measurement uncertainty can have a direct impact on overall process quality, it’s important to minimize MU without sacrificing quality. When selecting a calibration lab, making a comparison of each lab’s MU can be a determination of the quality and consideration put into their calibration procedure. An accredited lab can minimize uncertainty by considering/calculating more variables or controlling the calibration environment more thoroughly. There is one important caveat, small MU is only good if it is built on good science. Since unaccredited certificates do not have to follow a standard for measurement uncertainty, they can produce an unsubstantiated and inaccurate number by ignoring important factors. Since different accreditation bodies often have different standards that are more or less flexible with certain variables, it’s also important to note the accrediting boy when comparing two certificates MUs.
For a deeper dive, check out our article on Measurement Uncertainty.