Page 50 - Six Sigma for electronics design and manufacturing
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Six Sigma for Electronics Design and Manufacturing
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                       The objectives of DFM are more focused on design for low cost. This
                     is accomplished through fewer parts, parts that are standardized, or
                     parts that are easier for operators or production machines to assem-
                     ble, hence requiring lower operator skills. The result of DFM analysis
                     could be very beneficial toward achieving the goal of six sigma. A well-
                     designed DFM part or assembly can have a much wider tolerance, or
                     it  can  be  easier  to  manufacture,  resulting  in  reduced  assembly  de-
                     fects. In addition, the design team can focus better on a smaller num-
                     ber of parts.
                       An interesting consequence of applying DFM to new designs, which
                     will be discussed in the next chapter, results from the reduction in the
                     number of parts. Each additional part carries with it a potential for
                     more defects. A smaller number of parts reduces the opportunities to
                     generate defects, hence making the part design more robust and clos-
                     er to the six sigma goal.
                     1.10  Design of Experiments (DoE)
                     Though this quality tool will be discussed in detail in Chapter 7, a
                     quick review is given in this chapter in order to round out the quality
                     tools integration with the six sigma principles. Much like QFD, design
                     of experiments (DoE) can be used in both design and manufacturing,
                     and hence can influence both parts of the six sigma equation: design
                     specifications and manufacturing variability.
                       DoE  can  be  used  in  order  to  focus  the  new  product  development
                     project not only on cost, as in DFM, but on several other areas such
                     as  quality,  variability  reduction,  and  specification  selection.  The
                     same set of experiments can be used to optimize any of the parame-
                     ters  mentioned  above:  product  cost,  quality,  or  specifications.  DoE
                     has been widely used in manufacturing, but not in design, much like
                     six sigma. It is the intent of the author to demonstrate the success-
                     ful use of DoE in design as well as manufacturing, especially in case
                     studies where it was used to enhance the attainment of the six sig-
                     ma goals.

                     1.11  Other Quality Tools
                     There  is  a  wide  range  of  tools  necessary  for  the  planning,  mainte-
                     nance,  and  troubleshooting  of  quality  problems  and  defects.  These
                     tools include quality planning tools that are helpful in estimating and
                     planning for contingencies when a new product is launched, or when a
                     production process is being upgraded or improved. They include the
                     tools described in the following subsections.
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