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.

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 ...

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 ...

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

The purpose of this article is to present a case study of integrating statistical process control (SPC) and engineering process control (EPC) in an industrial polymerization process. We develop and ...

The resulting availability of Big Data enhances “line monitoring,” statistical process control methods that can predict yield excursions before they occur, immediately detect excursions so ...