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

In many applications, quality of a process is best characterized by a functional relationship between a response variable and one or more explanatory variables. Profile monitoring is used for checking ...

Control charts have two general uses in an improvement project. Undeniably, the most common application is as a tool to monitor process stability and control. A less common, although some might ...

A new approach to control charts for industrial processes is suggested, based on the idea that the underlying stochastic process should be specified, its parameters estimated, and the control ...

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.

Key Points An I-MR chart is a control chart used for process stability. It relies on continuous data. They only provide a single view of your current dataset. While some data are social creatures ...

Mean control charts and range control charts provide different perspectives on a process. The logic of using both charts is that the mean chart picks up the shift in the process mean, but because the ...

Identifying one of the processes that plays a role in naïve and memory T-cells' growth and production could one day lead to better vaccines and possibly more effective cancer immunotherapy.