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Quality and Reliability Methods - SAS

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Chapter 5 Shewhart Control Charts 81<br />

Moving Average Charts<br />

Although the points for X - <strong>and</strong> S-charts are the same as the Individual on Group Means <strong>and</strong> Individual on<br />

Group Std Devs charts, the limits are different because they are computed as Individual charts.<br />

Another way to generate the presummarized charts, with the Coating.jmp data table,<br />

1. Choose Tables > Summary.<br />

2. Assign Sample as the Group variable, then Mean(Weight) <strong>and</strong> Std Dev(Weight) as Statistics.<br />

3. Click OK.<br />

4. Select Analyze > <strong>Quality</strong> And Process > Control Chart > IR.<br />

5. Select Mean(Weight) <strong>and</strong> Std Dev(Weight) as Process variables.<br />

6. Click OK.<br />

The resulting charts match the presummarized charts.<br />

When using Presummarize charts, you can select either On Group Means or On Group Std Devs or both.<br />

Each option will create two charts (an Individual Measurement, also known as an X chart, <strong>and</strong> a Moving<br />

Range chart) if both IR chart types are selected.<br />

The On Group Means options compute each sample mean <strong>and</strong> then plot the means <strong>and</strong> create an<br />

Individual Measurement <strong>and</strong> a Moving Range chart on the means.<br />

The On Group Std Devs options compute each sample st<strong>and</strong>ard deviation <strong>and</strong> plot the st<strong>and</strong>ard deviations<br />

as individual points. Individual Measurement <strong>and</strong> Moving Range charts for the st<strong>and</strong>ard deviations then<br />

appear. Note that as a dispersion chart, the only Warnings option available for an Individual on Group Std<br />

Dev chart is Test Beyond Limits.<br />

Moving Average Charts<br />

The control charts previously discussed plot each point based on information from a single subgroup<br />

sample. The Moving Average chart is different from other types because each point combines information<br />

from the current sample <strong>and</strong> from past samples. As a result, the Moving Average chart is more sensitive to<br />

small shifts in the process average. On the other h<strong>and</strong>, it is more difficult to interpret patterns of points on a<br />

Moving Average chart because consecutive moving averages can be highly correlated (Nelson 1983).<br />

In a Moving Average chart, the quantities that are averaged can be individual observations instead of<br />

subgroup means. However, a Moving Average chart for individual measurements is not the same as a control<br />

(Shewhart) chart for individual measurements or moving ranges with individual measurements plotted.<br />

Uniformly Weighted Moving Average (UWMA) Charts<br />

Each point on a Uniformly Weighted Moving Average (UWMA) chart, also called a Moving Average chart,<br />

is the average of the w most recent subgroup means, including the present subgroup mean. When you<br />

obtain a new subgroup sample, the next moving average is computed by dropping the oldest of the previous<br />

w subgroup means <strong>and</strong> including the newest subgroup mean. The constant, w, is called the span of the<br />

moving average, <strong>and</strong> indicates how many subgroups to include to form the moving average. The larger the<br />

span (w), the smoother the UWMA line, <strong>and</strong> the less it reflects the magnitude of shifts. This means that<br />

larger values of w guard against smaller shifts.

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