Description
Going further into statistical quality control requires a deeper understanding of a few key concepts. This module explains how to leverage concept such as sigma metrics, normalized Operating Specifications charts, and probabilities to design the most effective quality control program. Using data from a virtual laboratory, the design of an effective quality control strategy will emerge to ensure the right number of quality controls are used, the right set points are used, and an understanding of how to spend the “error budget” wisely is gained.
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