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 ...

The choice of control chart parameters-sample size, sampling interval, and control limits-is considered from an economic point of view. A general process model is considered, and the hourly cost ...

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 ...

A control chart plots measured values along with upper and lower quality control limits. Values appearing outside these limits are unacceptable and could indicate a manufacturing problem. Although ...