Construction skewness correction the and R control chart under non-normality

Abstract EN

Shewhart's charts are powerful tools in Statistical Process Control (SPC) and are widely used.

Usually, Shewhart's charts are depending on the normality assumption.

The control charts rely on normality assumptions, which is not always the case for industrial data.

Skewness correction and an alternate technique of constructing non-normality control charts for persons The proposes of this paper is to use a skewness correction SC control chart to monitor or construct the control chart for the skewness distribution.

The SC chart or the new control chart compared with the Shewhart and weighted variance (WV) control.

The probability of exceeding out-of-control detections is also accomplished under a normal curve, the probability that a deviation from the means of the 3σ limit in both directions is 0.0027.

Change with the sample size leads to an increase in skewness distribution, leading to a relative increase in the type-Ι error.