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 most common technique being employed is statistical process control in semiconductor manufacturing industry using powerful statistical-process-control (SPC) software.

There are many different approaches for assessing process parameter criticality, and assessing which process parameters have a significant impact on critical quality attributes (CQAs) is a particular ...

This 2-day seminar provides a 1-day introduction to the statistical tools used to analyze Design Verification Data and Process Validation results.

This process would then be said to be under statistical control (i.e., no special cause variation and stable common cause variation). In this state, the process is amenable to the tools of statistical ...

Production engineering can evolve optimum process through application of statistical concepts like process capability, analysis of different processes, control chart technique and design of ...

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.