Statistical Process Control - Mathematics of Control Charts

Mathematics of Control Charts

Digital control charts use logic based rules that determine "derived values" which signal the need for correction. For example,

derived value = last value + average absolute difference between the last N numbers.

Most SPC charts work best using numeric data with Gaussian assumptions. Recently a new type of control chart, the real-time contrasts chart was developed in order to handle process data with complex characteristics. Such data might include high-dimensional data; mixed numerical and categorical data; data with missing values; and data with non-Gaussian distributions or with non-linear relationships.

Read more about this topic:  Statistical Process Control

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