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SPC refers to statistical process control. This is used when you are monitoring a single variable. Typically you must monitor more than one variable. This places us in the multivariate quality control world.

There is a STATISTICA module known as Multivariate Quality Control which can accommodate this situation. This functionality can be purchased with the product, STATISTICA Quality Control

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Question: Why not just use a quality control chart for every variable?

Answer: Variables are in general not independent, that is, a relationship of some type exists. For example as one variable increases another variable decreases.

Question: Why not just use Multivariate Quality Control?

Answer: As the number of predictors increases, it becomes difficult to determine which variable or set of variables is responsible for defects, poor quality, etc.

This is where MSPC comes in.

Multivariate statistical process control uses projection techniques like principal components and partial least squares to distill the salient features of the data into a smaller subset of variable referred to as components.

MSPC also allows you to monitor (real-time) the quality of batch processes. Batch processes are those where goods are manufactured in chunks or batches such as batches of beer, pharmaceuticals, chemicals, polymers, paint, semiconductors, etc.

Want more information? Read STATISTICA Multivariate Statistical Process Control.