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 ...

Traditional Shewhart control charts are usually considered effective for detecting large shifts in process parameters, but ineffective for detecting small shifts. For detecting small parameter shifts, ...

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 ...