Tools

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5S

7MP Management and Planning Tools

8QC Traditional Quality Control Tools

Activity Network Diagrams

Affinity Diagrams

Autocorrelation Charts

Benchmarking

Box Whisker Charts

Bulls-eye Charts

Cause And Effect Diagrams

Check Sheets

Designed Experiments

Failure Mode, Effects, and Criticality Analysis

Flowcharts

Histogram

Interrelationship Digraphs

KAIZEN

Level Load Balancing

Maintainability and Availability

Matrix Diagrams

Measurement Systems Analysis

Normal Probability Plot

Pareto Charts

PDCA Plan-Do-Check-Act

Poka yoke

Prioritization Matrix

Process Decision Program Charts

Regression Analysis

Run Charts

Scatter Diagrams

Statistical Inference

Statistical Process Control (SPC)

Tree Diagrams

Index

Autocorrelation Charts

SPC Software displays Autocorrelation Chart to test the independence of data values

The Autocorrelation Function (ACF) is a tool for identifying dependence of current data on previous data points. It tests for correlation (in this case, autocorrelation) between observations of a given characteristic in the data set. You may notice a similarity between the formulas used for the autocorrelation function and the correlation index calculated in the Scatter Diagram. The Scatter Diagram is used to test for correlation between observations of different characteristics, while the ACF tests for correlation between observations of the same characteristic.

See also:

When to Use an Autocorrelation Chart

Interpreting an Autocorrelation Chart


Learn more about the Quality Improvement principles and tools for process excellence in Six Sigma Demystified (2011, McGraw-Hill) by Paul Keller, or his online Green Belt certification course ($499).