Statistical Process Control
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.
|Process capability indices|
|Process capability plot|
|Shewhart control charts|
|Western Electric and Nelson control rules|
|Gage repeatability and reproducibility study|
|Histogram with a distribution fit|
|Normal density plot shading between specifications|
Visualize processes over time.
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 (DMAIC).