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Quality and Reliability Methods - SAS

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Chapter 7 Multivariate Control Charts 109<br />

Launch the Platform<br />

Launch the Platform<br />

To generate a multivariate control chart, select Analyze > <strong>Quality</strong> And Process > Control Chart ><br />

Multivariate Control Chart.<br />

Figure 7.2 Multivariate Control Chart Launch Window<br />

Y, Columns are the columns to be analyzed.<br />

Subgroup<br />

is a column that specifies group membership. Hierarchically, this group is within Group.<br />

Group is a column that specifies group membership at the highest hierarchical level.<br />

In addition, there is a Get Targets button that enables you to pick a JMP table that contains historical<br />

targets for the process.<br />

Control Chart Usage<br />

There are two distinct phases in generating a multivariate control chart. Phase 1 is the use of the charts for<br />

establishing control. Historical limits are set in this stage, <strong>and</strong> initial tests show whether the process is in<br />

statistical control. The objective of phase 1 is to obtain an in-control set of observations so that control<br />

limits can be set for phase 2, which is the monitoring of future production.<br />

Phase 1—Obtaining Targets<br />

To illustrate the process of creating a multivariate control chart, we use data collected on steam turbines,<br />

taken from Mason <strong>and</strong> Young (2002). Historical data, stored in Steam Turbine Historical.jmp, <strong>and</strong> found<br />

in the <strong>Quality</strong> Control subfolder, is used to construct the initial chart.<br />

Launch the platform <strong>and</strong> assign all continuous variables to the Y, Columns role. When you click OK,<br />

Figure 7.3 appears.

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