Statistical process control (SPC) is quantitative problem solving consisting of both the diagnostic techniques for identifying problems in a process and the prescriptive techniques for solving these ...

This course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to reduce variation.

Conventional statistical process control (SPC) methods, such as interpretation and decomposition of Hotelling's T 2 -type statistic, are often computationally expensive in such high-dimensional ...

Statistical Process Control (SPC) foundations and applications Xbar, EWMA, CUSUM and discrete event methods for detecting process problems Methods for analyzing process changes by looking at general ...

Revision of statistical process control procedures, evaluation of control chart performance and statistical design of charts, control of high quality process, multivariate process control, new process ...

Monitoring results through the statistical process control method provides objective data and feedback to help you determine whether you are actually improving continuously.