Page 337 - Six Sigma Demystified
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Part 3  S i x   S i g m a  To o l S        317


                           due to common or special causes of variation, which is determined using a
                           control chart. This distinction is important to understand our response to the
                           high cost or occurrence: If it is due to common causes, then we must change
                           the underlying nature of the process, whereas if it is due to a special cause of
                           variation, we can respond to that particular issue.
                             The Pareto chart in Figure F.24 displays the number of errors of each type of
                           error associated with a painting process. “Color Wrong” represents the largest
                           source of errors (30 percent), followed by “Color Off” (an additional 24 per-
                           cent), and “Chips” (another 19 percent), so these categories represent the best
                           opportunities for improvement (if all errors have the same costs).


                    PerT Analysis



                           Program evaluation and review techniques (PERT) analysis allows probabilistic
                           estimates of activity times, such as in project scheduling or cycle time analysis.

                           When to Use



                           Define Stage
                             •	 To identify project activities that determine the total project duration


                           Analyze Stage
                             •	 To identify the critical path for cycle time reduction

                           Improve Stage

                             •	 To verify the reduction in process critical-path cycle time


                           Methodology

                           Begin with activity times on the critical path, such as those determined using
                           an activity network diagram. We assume that each activity time follows a β
                           distribution, where a is an estimate of the optimistic time, b is an estimate of
                           the pessimistic time, and m is an estimate of the most likely time (usually the
                           deterministic time applied to the activity network diagram).
                             The estimated duration for each activity is then calculated as

                                                      μ = (a + 4m + b)/6
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