Reading Preestablished Control Limits

[See SHWNP1 in the SAS/QC Sample Library]In the previous example, the OUTLIMITS= data set Cirlim saved control limits computed from the data in Circuits. This example shows how these limits can be applied to new data provided in the following data set:

data Circuit2;
   input Batch Fail;
datalines;
31  12   32   9   33  16   34   9
35   3   36   8   37  20   38   4
39   8   40   6   41  12   42  16
43   9   44   2   45  10   46   8
47  14   48  10   49  11   50   9
;
run;

The following statements create an chart for the data in Circuit2 using the control limits in Cirlim:

ods graphics on;
symbol h = .8;
title 'np Chart for the Proportion of Failing Circuits';
proc shewhart data=Circuit2 limits=Cirlim;
   npchart Fail*Batch / subgroupn = 500
                        odstitle  = title;
run;
ods graphics off;

The ODS GRAPHICS ON statement specified before the PROC SHEWHART statement enables ODS Graphics, so the chart is created using ODS Graphics instead of traditional graphics.

The LIMITS= option in the PROC SHEWHART statement specifies the data set containing the control limits. By default,¹ this information is read from the first observation in the LIMITS= data set for which

• the value of _VAR_ matches the process name Fail

• the value of _SUBGRP_ matches the subgroup-variable name Batch

The resulting chart is shown in Figure 13.17.10.

Output 13.17.10 Chart for Second Set of Circuit Failures (ODS Graphics)

The number of nonconforming items in the th batch exceeds the upper control limit, signaling that the process is out of control.

In this example, the LIMITS= data set was created in a previous run of the SHEWHART procedure. You can also create a LIMITS= data set with the DATA step; see Example 13.21 for an example. See LIMITS= Data Set for details concerning the variables that you must provide.