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.

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 ...

Many processes must be monitored by using observations that are correlated. An approach called algorithmic statistical process control can be employed in such situations. This involves fitting an ...

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 that are properly constructed and maintained prevent false out-of-control signals and provide a useful method for monitoring a process.