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.

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 ...

What method can we use to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control". SPC is a statistical tool that objectively identifies ...

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 ...

Measurements of agreement are needed to assess the acceptability of a new or generic process, methodology, and formulation in areas of laboratory performance, instrument or assay validation, method ...