Saving Control Limits

[See SHWRCHR in the SAS/QC Sample Library]You can save the control limits for an chart in a SAS data set; this enables you to apply the control limits to future data (see Reading Preestablished Control Limits) or modify the limits with a DATA step program.

The following statements read measurements from the data set Disks (see Creating Range Charts from Raw Data) and save the control limits displayed in Figure 15.72 in a data set named Disklim:

title 'Control Limits for Disk Times';
proc shewhart data=Disks;
   rchart Time*Lot / outlimits = Disklim
                     nochart;
run;

The OUTLIMITS= option names the data set containing the control limits, and the NOCHART option suppresses the display of the chart. The data set Disklim is listed in Figure 15.76.

Figure 15.76 The Data Set Disklim Containing Control Limit Information
Control Limits for Disk Times

_VAR_ _SUBGRP_ _TYPE_ _LIMITN_ _ALPHA_ _SIGMAS_ _LCLX_ _MEAN_ _UCLX_ _LCLR_ _R_ _UCLR_ _STDDEV_
Time Lot ESTIMATE 6 .004447667 3 7.94314 8.00307 8.06299 0 0.124 0.24847 0.048927

The data set Disklim contains one observation with the limits for process Time. The variables _LCLR_ and _UCLR_ contain the lower and upper control limits, and the variable _R_ contains the central line. The value of _MEAN_ is an estimate of the process mean, and the value of _STDDEV_ is an estimate of the process standard deviation . The value of _LIMITN_ is the nominal sample size associated with the control limits, and the value of _SIGMAS_ is the multiple of associated with the control limits. The variables _VAR_ and _SUBGRP_ are bookkeeping variables that save the process and subgroup-variable. The variable _TYPE_ is a bookkeeping variable that indicates whether the values of _MEAN_ and _STDDEV_ are estimates or standard values. The variables _LCLX_ and _UCLX_, which contain the lower and upper control limits for subgroup means, are included so that the data set Disklim can be used to create an chart (see XRCHART Statement: SHEWHART Procedure). For more information, see OUTLIMITS= Data Set.

You can create an output data set containing both control limits and summary statistics with the OUTTABLE= option, as illustrated by the following statements:

title 'Summary Statistics and Control Limit Information';
proc shewhart data=Disks;
  rchart Time*Lot / outtable=Disktab
                    nochart;
run;

The data set Disktab is listed in Figure 15.77.

Figure 15.77 The Data Set Disktab
Summary Statistics and Control Limit Information

_VAR_ Lot _SIGMAS_ _LIMITN_ _SUBN_ _LCLR_ _SUBR_ _R_ _UCLR_ _STDDEV_ _EXLIM_
Time 1 3 6 6 0 0.16 0.124 0.24847 0.048927  
Time 2 3 6 6 0 0.09 0.124 0.24847 0.048927  
Time 3 3 6 6 0 0.07 0.124 0.24847 0.048927  
Time 4 3 6 6 0 0.10 0.124 0.24847 0.048927  
Time 5 3 6 6 0 0.16 0.124 0.24847 0.048927  
Time 6 3 6 6 0 0.12 0.124 0.24847 0.048927  
Time 7 3 6 6 0 0.15 0.124 0.24847 0.048927  
Time 8 3 6 6 0 0.11 0.124 0.24847 0.048927  
Time 9 3 6 6 0 0.15 0.124 0.24847 0.048927  
Time 10 3 6 6 0 0.10 0.124 0.24847 0.048927  
Time 11 3 6 6 0 0.10 0.124 0.24847 0.048927  
Time 12 3 6 6 0 0.09 0.124 0.24847 0.048927  
Time 13 3 6 6 0 0.13 0.124 0.24847 0.048927  
Time 14 3 6 6 0 0.10 0.124 0.24847 0.048927  
Time 15 3 6 6 0 0.13 0.124 0.24847 0.048927  
Time 16 3 6 6 0 0.09 0.124 0.24847 0.048927  
Time 17 3 6 6 0 0.11 0.124 0.24847 0.048927  
Time 18 3 6 6 0 0.20 0.124 0.24847 0.048927  
Time 19 3 6 6 0 0.18 0.124 0.24847 0.048927  
Time 20 3 6 6 0 0.10 0.124 0.24847 0.048927  
Time 21 3 6 6 0 0.14 0.124 0.24847 0.048927  
Time 22 3 6 6 0 0.20 0.124 0.24847 0.048927  
Time 23 3 6 6 0 0.11 0.124 0.24847 0.048927  
Time 24 3 6 6 0 0.06 0.124 0.24847 0.048927  
Time 25 3 6 6 0 0.15 0.124 0.24847 0.048927  

This data set contains one observation for each subgroup sample. The variables _SUBR_ and _SUBN_ contain the subgroup ranges and subgroup sample sizes. The variables _LCLR_ and _UCLR_ contain the lower and upper control limits, and the variable _R_ contains the central line. The variables _VAR_ and Batch contain the process name and values of the subgroup-variable, respectively. For more information, see OUTTABLE= Data Set. An OUTTABLE= data set can be read later as a TABLE= data set. For example, the following statements read Disktab and display an chart (not shown here) identical to the chart in Figure 15.72:

title 'Range Chart for Disk Drive Test Times';
proc shewhart table=Disktab;
   rchart Time*Lot;
run;

Because the SHEWHART procedure simply displays the information in a TABLE= data set, you can use TABLE= data sets to create specialized control charts (see Specialized Control Charts: SHEWHART Procedure). For more information, see TABLE= Data Set.