Chapter 20
Maintaining Gains through Statistical Process Control
In This Chapter
Understanding statistical process control
Selecting the right control chart for your situation
Analyzing and interpreting control charts
Creating control charts for continuous and attribute data
Statistical process control (SPC) is a century-old toolset that involves using statistics to monitor and control the variation in processes. In Six Sigma, you use SPC first and foremost to stabilize out-of-control processes, but you can also use it as a follow-on to monitor the consistency of product and service processes. As such, SPC is a hallmark of the DMAIC Control phase.
In this chapter, you become familiar with the underlying statistical concepts upon which SPC is founded, as well as with the recipes for constructing critical control charts. You also see how to correctly interpret the control charts you produce and how to select the right chart for your Six Sigma work from the host of available possibilities.
Getting to Know Control Charts
The primary SPC tool is the control chart — a graphical tracking ...
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