Page 218 - The Handbook for Quality Management a Complete Guide to Operational Excellence
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204   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    205


                                Interpreting Capability Indexes
                                Perhaps the biggest drawback of using process capability indexes is that
                                they take the analysis a step away from the data. The danger is that the
                                analyst will lose sight of the purpose of the capability analysis, which is to
                                improve quali ty. To the extent that capability indexes help accomplish this
                                goal, they are worthwhile. To the extent that they distract from the goal,
                                they are harmful.
                                   The quality engineer should continually refer to this principle when
                                interpreting capability indexes.
                                   C   Historically,  this  is  one  of  the  first  capability  indexes  used.  The
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                                   “natural tolerance” of the process is computed as 6s. The index simply
                                   makes a direct comparison of the process natural tolerance with the
                                   engineering requirements. Assuming the process distribution is normal
                                   and the process average is exactly centered between the engi neering
                                   requirements, a C index of 1 would give a “capable process.” However,
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                                   to allow a bit of room for process drift, the generally accept ed minimum
                                   value for C is 1.33. In general, the larger C  is, the better. The C index
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                                   has two major shortcomings. First, it can’t be used unless there are both
                                   upper and lower specifications. Second, it does not account for process
                                   centering. If the process average is not exactly centered relative to the
                                   engineering requirements, the C index will give misleading results. In
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                                   recent years, the C index has largely been replaced by C (see on the
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                                   next page).
                                   C   The  C index  is  algebraically  equivalent  to  the  C index.  The
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                                   index  simply  makes  a  direct  comparison  of  the  process  with  the
                                   engineering  requirements.  Assuming  the  process  distribution  is
                                   normal  and  the  process  average  is  exactly  centered  between  the
                                   engineering require ments, a C  index of 100 percent would give a
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                                   “capable process.” However, to allow a bit of room for process drift,
                                   the generally accepted maxi mum value for C  is 75 percent. In gen-
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                                   eral, the smaller C  is, the better. The C  index suffers from the same
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                                   shortcomings as the C  index.
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                                   C   The  C   index  is  generally  used  to  evaluate  machine  capability
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                                   stud ies, rather than full-blown process capability studies. Since varia-
                                   tion will increase when normal sources of process variation are added
                                   (e.g.,  tooling,  fixtures,  materials,  etc.),  C   uses  a  four  sigma  spread
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                                   rather than a three sigma spread.
                                   Z  The Z  index measures the process location (central tendency) rela-
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                                   tive to its standard deviation and the upper requirement. If the distribu-
                                   tion is normal, the value of Z  can be used to determine the percentage
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                                   above the upper requirement by using the table in Appendix 2. In gen-
                                   eral, the bigger Z  is, the better. A value of at least +3 is required to
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