Statistical Process Control

R2026b

Statistical methods for quality control and production process monitoring

Statistical process control (SPC) refers to a number of different methods for monitoring and assessing the quality of manufactured goods. Combined with methods from the design of experiments, SPC is used in programs that define, measure, analyze, improve, and control development and production processes. These programs are often implemented using “Design for Six Sigma” methodologies.

Apps

Gage R&R Analyzer

Perform Gage repeatability and reproducibility studies (Since R2026b)

Functions

`capability`	Compute process capability indices
`capaplot`	Create process capability plot
`controlchart`	Control charts
`controlrules`	Western Electric and Nelson control rules
`gagerr`	Gage repeatability and reproducibility study
`histfit`	Histogram with a distribution fit
`normspec`	Normal density plot shading between specifications

Topics

Improve an Engine Cooling Fan Using Design for Six Sigma Techniques
This example shows how to improve the performance of an engine cooling fan through a Design for Six Sigma approach using Define, Measure, Analyze, Improve, and Control.