Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches often ...

Control charts have two general uses in an improvement project. Undeniably, the most common application is as a tool to ...

The extent to which products meet specifications needs to be systematically monitored in a production process. Product quality will typically be defined by two quantities: deviations from stated ...

The Christie NHS Foundation Trust in Manchester has implemented visualisation software on statistical process control (SPC) charts to improve clinical outcomes. The Christie is Europe’s largest single ...

Control charts have been widely used for monitoring production processes and identifying assignable causes of variability. Many papers investigate the application of control charts in different ...

The problem of using time-varying trajectory data measured on many process variables over the finite duration of a batch process is considered. Multiway principal-component analysis is used to ...

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. The data you collect ...

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 ...

Control chart- a time-ordered plot of sample statistics, used to distinguish between random and nonrandom variability Control limits- the dividing lines between random and nonrandom deviations from ...