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.

Measurements of agreement are needed to assess the acceptability of a new or generic process, methodology, and formulation in areas of laboratory performance, instrument or assay validation, method ...

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 ...

What method can we use to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control". SPC is a statistical tool that objectively identifies ...

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 ...

Chipmakers are relying on machine learning for electroplating and wafer cleaning at leading-edge process nodes, augmenting traditional fault detection/classification and statistical process control in ...