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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

capabilityProcess capability indices
capaplotProcess capability plot
controlchartShewhart control charts
controlrulesWestern Electric and Nelson control rules
gagerrGage repeatability and reproducibility study
histfitHistogram with a distribution fit
normspecNormal density plot shading between specifications

Topics

Control Charts

Visualizing processes over time

Capability Studies

Meeting 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 (DMAIC).