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 ...

Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches ...

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 ...

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.

Monitoring multivariate quality variables or data streams remains an important and challenging problem in statistical process control (SPC). Although the multivariate SPC has been extensively studied ...

The most successful method available for such endeavors is called SPC (statistical process control). SPC can also be used to meet ISO requirements for "continual improvement" as well as FDA ...

This 2-day seminar provides a 1-day introduction to the statistical tools used to analyze Design Verification Data and Process Validation results. The entire 2nd day is spent on Statistical ...