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The Elements of Six Sigma and Their Determination



                                     Figure 2.1 Conceptual view of control charts.  35



                        standard deviation ( ) is small. It is important to note here that the
                        control charts do not reflect the relation of the process to the specifica-
                        tion limit, only the performance of the process to historical standards.
                        Six sigma gives that additional dimension of relating the process per-
                        formance to the specification tolerance.


                        2.1.2  The relationship of control charts and six sigma
                        There are two major types of control charts: variable charts, which
                        plot  continuous  data  from  the  observed  parameters,  and  attribute
                        charts,  which  are  discrete  and  plot  accept  or  reject  data.  Variable
                        charts are known as X   and R charts. They can be directly related to
                        the six sigma calculations through the product specification. Attribute
                        charts are measures of good or bad parts, and therefore are indirectly
                        related  to  specifications.  The  relationship  of  attribute  charts  to  six
                        sigma  is  that  of  an assumed  set of specifications that produces the
                        particular defect rate plotted in the charts. More on these charts in
                        the next chapter.
                         The selection of the parameters to be control charted is an impor-
                        tant part of the six sigma process. Too many parameters plotted tend
                        to adversely confuse the beneficial effect of the control charts, since
                        they will move together in the same direction when the process is out
                        of control. It is very important to note that the parameters selected for
                        control charting are independent from each other, and are directly re-
                        lated to the overall performance of the product. When a chart shows
                        an out-of-control condition, the process should be investigated and the
                        cause of the problem identified on the chart.
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