Page 204 - The Handbook for Quality Management a Complete Guide to Operational Excellence
P. 204

190   P r o c e s s   C o n t r o l                              Q u a n t i f y i n g   P r o c e s s   Va r i a t i o n    191


                                                         Add chemical            Actual
                                                          to solution          distribution
                                           X                    XX










                                                              X
                                                                                  Process
                                         0                                       capability
                                Figure 9.18  Control chart patterns: drift.


                                instead it will change gradually (Fig. 9.18). Another common example is
                                tool wear: the size of the tool is related to its previous size. Once the cause
                                of the drift has been determined, the appropriate action can be taken. When-
                                ever  economically  feasible,  the  drift  should  be  eliminated;  for  example,
                                install an automatic chemical dispenser for the plating bath, or make auto-
                                matic compensating adjustments to correct for tool wear. Note that the total
                                process variability increases when drift is allowed, which adds cost. When
                                drift elimination is not possible, the control chart can be modified in one of
                                two ways:

                                    1.  Make the slope of the centerline and control limits match the natural
                                       process drift. The control chart will then detect departures from the
                                       natural drift.
                                    2.  Plot deviations from the natural or expected drift.
                                   Cycles often occur due to the nature of the process. Common cycles
                                include hour of the day, day of the week, month of the year, quarter of
                                the year, week of the accounting cycle, etc. (Fig. 9.19). Cycles are caused
                                by  modifying  the  process  inputs  or  methods  according  to  a  regular
                                schedule. The existence of this schedule and its effect on the process
                                may or may not be known in advance. Once the cycle has been discov-
                                ered, action can be taken. The action might be to adjust the control chart
                                by plotting the control measure against a variable base. For example, if
                                a day-of-the-week cycle exists for shipping errors because of the work-
                                load, you might plot shipping errors per 100 orders shipped instead of
                                shipping errors per day. Alternatively, it may be worthwhile to change
                                the system to smooth out the cycle. Most processes operate more effi-
                                ciently  when  the  inputs  are  relatively  stable  and  when  methods  are
                                changed as little as possible.








          09_Pyzdek_Ch09_p151-208.indd   191                                                           11/21/12   1:42 AM
   199   200   201   202   203   204   205   206   207   208   209