Key Points X-bar and R charts are useful control charts for use with rational subgroups. X-bar measure between-sample variation. R charts measure within-sample variation. All processes vary.

At any rate, control charts are simple, robust tools for understanding process variability. The Four Process States. Processes fall into one of four states: 1) the ideal, 2) the threshold, 3) the ...

Independent variables can be charted individually, but if the variables are correlated, a multivariate chart is needed to determine whether the process is in control. Many types of multivariate ...

Process control is and has been an important aspect of manufacturing, test method operations, and other bio/pharmaceutical processes. FDA’s process validation guidance (1) calls for continued process ...

Nan Chen, Xuemin Zi, Changliang Zou, A Distribution-Free Multivariate Control Chart, Technometrics, Vol. 58, No. 4 (November 2016), ... Monitoring multivariate quality variables or data streams ...

Control charts usually present a graphic display of process stability and/or instability with time, from which the you can determine mean and standard deviation. Types of Control Charts ...

Wait times from check-in until medication administration were analyzed using statistical process control charts. Our Plan-Do-Study-Act cycle led to the addition of a “fast-track” clinic title for ...

Time-between-events (TBE) charts or T charts have attracted increasing research interest in statistical process control (SPC). These charts monitor TBE or the time interval T between the events.