CCHART Statement: SHEWHART Procedure

Saving Nonconformities per Unit

Note: See c Chart Examples in the SAS/QC Sample Library.

A department store receives boxes of shirts containing 10, 25, or 50 shirts. Each box is inspected, and the total number of defects per box is recorded. The following statements create a SAS data set named Shirts2, which contains the total defects per box for 20 boxes: 

data Shirts2;
   input Box Flaws Nshirts @@;
   datalines;
 1  3  10    2  8  10    3 15  25    4 20  25
 5  9  25    6  1  10    7  1  10    8 21  50
 9  3  10   10  7  10   11  1  10   12 21  25
13  9  25   14  3  25   15 12  50   16 18  50
17  7  10   18  4  10   19  8  10   20  4  10
;

A partial listing of Shirts2 is shown in Figure 18.22.

Figure 18.22: The Data Set Shirts2

Number of Shirt Flaws per Box

Box Flaws Nshirts
1 3 10
2 8 10
3 15 25
4 20 25
5 9 25 




            

            


            
The variable Box contains the box number, the variable Flaws contains the number of flaws in each box, and the variable Nshirts contains the number of shirts in each box. To evaluate the quality of the shirts, you should report the average number of
               defects per shirt. The following statements create a data set containing the number of flaws per shirt and the number of shirts
               per box: 
            


proc shewhart data=Shirts2;
   cchart Flaws*Box / subgroupn  = Nshirts
                      outhistory = shirthist
                      nochart;
run;



The SUBGROUPN=
                option names the variable in the DATA= data set whose values specify the number of inspection units per subgroup. The OUTHISTORY=
                option names an output data set containing the number of nonconformities per inspection unit and the number of inspection
               units per subgroup. A partial listing of Shirthist is shown in Figure 18.23. 
            

            
  

            

               
Figure 18.23: The Data Set Shirthist

               

                  

                     
                     

                        
                        
                        

Average Defects Per Shirt
                              
                           



                           
                           

                              
                              








Box
                                       
                                       FlawsU
                                       
                                       FlawsN
                                       
                                    




1
                                       
                                       0.30
                                       
                                       10
                                       
                                    



2
                                       
                                       0.80
                                       
                                       10
                                       
                                    



3
                                       
                                       0.60
                                       
                                       25
                                       
                                    



4
                                       
                                       0.80
                                       
                                       25
                                       
                                    



5
                                       
                                       0.36
                                       
                                       25
                                       
                                    






                           
                        

                        



                     
                     
                  





            

            


            
There are three variables in the data set Shirthist. 
            

            

               
    

  • 
                     
    Box contains the subgroup index. 
                     
    
                  
    • 
                  
  • 
                     
    FlawsU contains the numbers of nonconformities per inspection unit. 
                     
    
                  
    • 
                  
  • 
                     
    FlawsN contains the subgroup sample sizes. 
                     
    
                  
    • 
               



            
Note that the variables containing the numbers of nonconformities per inspection unit and subgroup sample sizes are named
               by adding the suffix characters U and N to the process Defects specified in the CCHART statement. In other words, the variable naming convention for OUTHISTORY= data sets is the same as
               that for HISTORY= data sets. 
            

            
For more information, see OUTHISTORY= Data Set.