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.

In statistical process control, a state of statistical control is identified with a process generating independent and identically distributed random variables. It is often difficult in practice to ...

Statistical process control is a numerical approach to continuous improvement. It tracks results and quality relative to sets of data points, or measurable results.

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 ...

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

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 ...