All Shewhart charts have the following characteristics: Each point represents a summary statistic computed from a sample of measurements of a quality characteristic. For example, the summary statistic ...

Part 1 of this article series demonstrates, using real-world process data, that the four fundamental assumptions underlying the classical Shewhart control charts—randomness, independence, constant ...

Shewhart charts are broadly classified according to the type of data analyzed. Shewhart charts for variables are used when the quality characteristic of a process is measured on a continuous scale.

This is a preview. Log in through your library . Abstract Traditional statistical process control charts assume that observations are independent and normally distributed about some mean. We ...

Statistical process control (SPC) involves ongoing checks to ensure that neither the mean nor the variability of the process readings has changed. Conventionally, this is done by pairs of ...