Page 147 - The Six Sigma Project Planner
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are found for the lower and upper specifications using normal tables or software.
                    Finally, the combined process reject rate is used to determine the process RTY and
                    sigma level.
                    Perfect statistical control is not common. In practice, if control charts are in statistical
                    control for 90% of the time or more, then the process capability is approximated by
                    dropping the out-of-control groups from the calculations. However, this mathematical
                    trick should not be used unless the root causes of the out-of-control conditions have
                    been identified.

                    Example
                    The CTQ for a machining process is the diameter of a pin. The specifications call for the
                    diameter to be 1.000 ± 0.001 inches. A control chart shows statistical control for an entire
                    workweek. The average of the X-bar chart is 1.0001 inches and, based on the sigma
                    chart, the standard deviation is 0.0002 inches. What is the process capability sigma
                    level?

                    Solution

                                                  X − Low Spec. 1.0001 0.9990
                                                                       −
                                        Z  Low Spec =  σ       =     0.0002    =  5.5
                                        DPMO =   13.7
                                                                        −
                                        Z  High Spec  =  High Spec. - X  =  1.0010 1.0001  =  4.5
                                                        σ
                                                                     0.0002
                                        DPMO =   1350
                                        Process DPMO = 1363.7
                                        Process sigma level = 4.5

                    Measuring Actual Process Performance for Variables Data
                    Assume that the process does not show statistical control. Or assume that we must
                    measure a CTx dimension without knowledge of the production sequence. This state
                    describes the actual process performance. When this situation exists, then the process
                    performance is measured by using the sample mean and standard deviation and
                    assuming a 1.5σ shift. The calculations are identical to those above, except that now the
                    sample standard deviation is not obtained from a range or sigma chart showing
                    statistical control, i.e., it is not computed from rational subgroups. Instead sigma is
                    computed from aggregated data, for example, using a calculator or spreadsheet formula
                    on the entire data set.
                    Example
                    Assume the same process as in the previous example. The CTQ for a machining process
                    is the diameter of a pin. As before, the specifications call for the diameter to be 1.000  ±



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