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.

This course teaches the basic statistical principles, state-of-the-art concepts, advanced tools, and available techniques for statistical process monitoring, quality fault detection, and continues ...

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 ...

The online quality engineering certificate emphasizes statistical process control (SPC), statistical analysis, and computing (using R/RStudio and SAS software). You'll learn to solve real-world ...

Control Chart: A statistical tool used to monitor process stability and signal when a process may be deviating from its expected performance.

SPC is a statistical tool that objectively identifies when it is worthwhile to perform a formal investigation of manufacturing variation, in order to identify and reduce its cause. SPC continually ...

Technologies such as model predictive control, first-principal models, neural networks, and multivariate statistical process control in a virtual plant environment are important for getting the most ...

The ColorCert Suite of statistical process control tools plays a role here, as does PantoneLIVE. These offer input and output validation for insertion into the process as needed. Customizing content.