Tools
Concepts
Interpretation & Calculations
Histograms, Process Capability
Applications
Key Success Factors for the Implementation of SPC
How to Study Process Capability
SPC to Improve Quality, Reduce Cost
Use Of SPC To Detect Process Manipulation
A Moving Average Sigma Chart from SPC IV Excel software.
Moving Average / Sigma Charts are a set of control charts for variables data (data that is both quantitative and continuous in measurement, such as a measured dimension or time). The Moving Average chart monitors the process location over time, based on the average of the current subgroup and one or more prior subgroups. The Moving Sigma chart monitors the variation between the subgroups over time and it can be analyzed using Moving Average software.
The plotted points for a Moving Average / Sigma Chart, called a cell, include the current subgroup and one or more prior subgroups. Each subgroup within a "cell" may contain one or more observations, but must all be of the same size.
See also:
When to Use a Moving Average / Sigma Chart
Interpreting a Moving Average / Sigma Chart
Choosing a Control Chart for Individuals Data
Create Moving Average / Sigma charts in Excel
Learn more about the SPC principles and tools for process improvement in Statistical Process Control Demystified (2011, McGraw-Hill) by Paul Keller, in his online SPC Concepts short course (only $39), or his online SPC certification course ($350) or online Green Belt certification course ($499).