Page 269 - Six Sigma Demystified
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Part 3  s i x   s i g m a  to o l s        249



                                                   EWMA Chart



                           Minitab

                           Use Stat\Control Charts\Time-Weighted charts\EWMA.

                           Use the “Select” button to enter the data. Specify the λ value between 0 and 1
                           using the Weight of EWMA field.
                           Excel


                           Using Green Belt XL Add-On
                           Use  New  Chart\EWMAChart.  Enter  the  data’s  cell  references  (e.g.,
                           $A$2:$A$102) into the Data Range (step 2) dialog box. Specify the λ value
                           between 0 and 1 in the Analysis tab of step 3.





                           Interpretation

                           Always look at the range chart first. The control limits on the EWMA chart are
                           derived from the average range (or moving range if n = 1), so if the range chart
                           is out of control, then the control limits on the EWMA chart are meaningless.
                             On the range chart, look for out-of-control points. If there are any, then the
                           special causes must be eliminated. Remember that the range is the estimate of
                           the  variation  within  a  subgroup,  so  look  for  process  elements  that  would

                           increase variation between the data in a subgroup. Brainstorm and conduct
                           designed experiments.
                             After reviewing the range chart, interpret the points on the EWMA chart
                           relative to the control limits. Run tests are never applied to an EWMA chart
                           because  the  plotted  points  are  inherently  dependent,  containing  common
                           points. Never consider the points on an EWMA chart relative to specifications
                           because the observations from the process vary much more than the exponen-
                           tially weighted moving averages.
                             If the process shows control relative to the statistical limits for a sufficient
                           period of time (long enough to see all potential special causes), then you can ana-
                           lyze its capability relative to requirements. Capability is meaningful only when the
                           process is stable because you cannot predict the outcome of an unstable process.
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