Page 214 - Six Sigma for electronics design and manufacturing
P. 214

Six Sigma Quality and Manufacturing Costs of Electronics Products
                                                                               181
                         The quality loss function can also be used to find an optimum level
                        of quality at which the target factory quality can be balanced by the
                        customer dissatisfaction of escaping potential defects. This would im-
                        ply balancing  the  product  shipping tolerance  at  $100 per defect re-
                        moval at the factory versus the advertised specifications (±6mm) with
                        a  defect  removal  of  $500  at  the  customer  site.  This  can  be  shown
                        mathematically as follows:
                                                               A
                                                A
                              L factory = L customer =
                                                             2
                                               2
                                                factory  · MSD =    · MSD     (6.4)
                                                              customer
                                               100    500
                                                    =
                                               2
                                                        2
                                                factory  6
                                factory =  3 6 0 0 /5 0 0  = ±2.68 mm shipping tolerance
                         The above calculations indicate that the factory should set the tol-
                        erance of the manufacturing process at ±2.68 mm with a $100 cost per
                        defect in order to balance the customer tolerance of ±6 mm and $500
                        cost per defect.
                         It can be seen that this methodology can provide an alternate ap-
                        proach  to  six  sigma  is  setting  product  specifications  based  on  the
                        trade-offs of removing defects at various points in the product life cy-
                        cle. This analysis is similar to the one performed for testing strategy
                        in Chapter 4. Obviously, the quality loss function methodology is diffi-
                        cult  to  quantify,  especially  since  the  customer  defect  cost,  as  ex-
                        pressed in terms of loss to society, is difficult to ascertain.
                        6.2.3  A practical quality and cost approach
                        Both six sigma and the quality loss function discussed above are use-
                        ful tools that can be used to achieve an assessment of product quality
                        in design and manufacturing and relate it to the cost of the product.
                         For six sigma, the connectivity to cost is that the desired quality
                        target of 3.4 PPM is required by customers to maintain a high level of
                        growth enjoyed by electronics companies such as Motorola. There is
                        no volume adjustment to the six sigma philosophy, so that the quality
                        level is expected to be the same for mass-produced items such as cel-
                        lular  phones  and  pagers  as  for  low-volume  products  such  as  those
                        used by aerospace and the military.
                         The  quality loss function  (QLF) can be used as comparative esti-
                        mate of the loss to the product incurred because of its process average
                        shift versus target or its variability. It can also be used to measure
                        the  trade-off  of  quality  between  the  factory  and  the  customer,  as
                        shown in the example above (Section 6.2.2). The cost of a potential de-
   209   210   211   212   213   214   215   216   217   218   219