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

There are no simple answers to these questions as semiconductor manufacturing is not a 100% defect-free process, but with the help of the latest quality-control and analytical systems, the defect ...

State College, PA, June 24, 2021 (GLOBE NEWSWIRE) -- Minitab, LLC, the market leader in data analysis, predictive analytics and process improvement, announced the launch of Graph Builder for ...

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.

Control charts based on nonparametric regression are particularly useful when the in-control (IC) or out-of-control (OC) relationship is too complicated to be specified parametrically. This paper ...

Part 1 of this article series demonstrates, using real-world process data, that the four fundamental assumptions underlying the classical Shewhart control charts—randomness, independence, constant ...