Statistical Process Control

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.

Functions

`capability`	Process capability indices
`capaplot`	Process capability plot
`controlchart`	Shewhart 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

Control Charts
Visualize processes over time.
Capability Studies
Meet specifications.
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.