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.

Traditional statistical process control charts assume that observations are independent and normally distributed about some mean. We investigate the robustness of traditional charts to data ...

Hi everyone, I'm looking for a Python library that supports non-parametric statistical process control (SPC) charts. Specifically, I need functionality for SPC charts that do not assume a normal ...

The use of multiple control limits and multiple corresponding levels of response for processes is an effective way for statistical process control when different assignable causes exist which lead to ...

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 ...

To ensure high quality pharmaceutical care in a 1200-bed teaching hospital in southern Taiwan, patient-centered performance indicators, developed based on medication-use indicators, and pharmacy ...