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Six Sigma for Electronics Design and Manufacturing
                     56
                                 LSL –                USL –
                              z 1 =                z 2 =

                              Defects = f(–z 1 )   Total Defects = f(–z 1 ) + [1 – f(–z 2 )]
                              for less than LSL
                              Defects = [1 – f(–z 2 )]  If Process Average = Nominal
                              for greater than USL  Defects = 2 · f(–z 2 )
                                 Figure 2.11 Negative and positive z transformation.


                        Cp = 2 or six sigma, specification limits are:
                        12.62 ± 6 · 2.156 = 12.62	 ± 12.936	 = 25.556	 to -0.316	 or 0	.
                     Example 2.2
                     Table 2.4 contains a good set of conditions to examine the calculations
                     of Cp, Cpk, and defect rates. It shows that these calculations can be
                     different according to the specification tolerance width or the process
                     distribution as presented by the process average   and standard devi-
                     ation  .
                     Solutions to Example 2.2
                     Solutions will be shown for the first two items in Table 2.4 only. The
                     remainder  can  be  solved  using  the  same  techniques.  For  the  first


                               Table 2.4 Examples of calculating defect rates, Cp and Cpk
                        Specification  Process
                     ___________________ ______________       % Above  % Below
                     Nominal  Tolerance         % Good  USL     LSL    Cp  Cpk
                     10.00	   ± .04  10.00	  0.015  99.24  0.38  0.38  0.89  0.89
                     10.00	   ± .04  9.99	  0.015	  97.68  0.043  2.28  0.89  0.67
                     10.00	   ± .04  10.01	  0.015	  97.68  2.28  0.043  0.89  0.67
                     10.00	   ± .05  10.00	  0.015	  99.91  0.043  0.043  1.11  1.11
                     10.00	   ± .06  10.01	  0.015	  99.96  0.043  0.0002  1.33  1.11
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