In this case, the accumulated variation between your two measuring cups is Measurement Variation.Īlternatively, imagine that a call center has auditors that review the quality of each phone associate’s call. If you are measuring using a measuring cup that is not very accurate and your colleague uses an accurate device, you will have different measures. Total Variation = Process Variation + Measurement Variationįor example, let’s say you measure how many cups of M&M are in a production run. Moreover, that total observed variation comes in 2 flavors: Remember that DMAIC is a tool for removing defects from our process, especially by limiting variation. Measurement data is a collection of methods, tools, gauges, and operators used to obtain measurements. What are Measurement Data and Measurement Variation?
Measurement System Analysis (MSA) is an experimental and mathematical method of determining how much variation within the measurement process contributes to overall process variability. In other words, it allows us to ensure that the variation in our measurement is minimal compared to the variation in our process. It is the system used to assess the quality of the measurement system. Measurement Systems Analysis (MSA) is a tool for analyzing the variation present in each type of inspection, measurement, and test equipment.
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