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Quality and Reliability Methods - SAS

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Chapter 6 Cumulative Sum Control Charts 103<br />

Cumulative Sum (Cusum) Charts<br />

• Specify hour as the Sample Label.<br />

• Click the H radio button <strong>and</strong> enter 0.25 into the text box.<br />

• Click Specify Stats to open the Known Statistics for CUSUM Chart tab.<br />

• Set Target to the average weight of 8.1.<br />

• Enter a Delta value of 1.<br />

• Set Sigma to the st<strong>and</strong>ard deviation 0.05.<br />

Alternatively, you can submit the following JSL script:<br />

Control Chart(Sample Size( :hour), H(0.25), Show Limits Legend(0), Chart Col(<br />

:weight, CUSUM(Two Sided(0), Target(8.1), Delta(1), Sigma(0.05))));<br />

The resulting output should look like the picture in Figure 6.8.<br />

Figure 6.8 One-Sided Cusum Chart for the Oil1 Cusum.jmp Data<br />

Notice that the decision interval or horizontal line is set at the H-value entered (0.25). Also note that no<br />

V-mask appears with One-Sided Cusum charts.<br />

The Show Parameters option in the Cusum chart popup menu shows the Parameters report in Figure 6.9.<br />

The parameters report summarizes the charting parameters from the Known Statistics for CUSUM Chart<br />

tab on the Control Chart launch dialog. An additional chart option, Show ARL, adds the average run<br />

length (ARL) information to the report. The average run length is the expected number of samples taken<br />

before an out-of-control condition is signaled:<br />

• ARL (Delta), sometimes denoted ARL1, is the average run length for detecting a shift the size of the<br />

specified Delta<br />

• ARL(0), sometimes denoted ARL0, is the in-control average run length for the specified parameters<br />

(Montogomery (1985)).

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