Page 332 - The Handbook for Quality Management a Complete Guide to Operational Excellence
P. 332

318   C o n t i n u o u s   I m p r o v e m e n t                                A n a l y z e   S t a g e    319


                                   A  good  cause-and-effect  diagram  will  have  many  “bones.”  If  your
                                cause-and-effect diagram doesn’t have a lot of smaller branches, then the
                                understanding of the problem is somewhat superficial.
                                   Cause-and-effect diagrams come in several basic types. The disper-
                                sion analysis type is created by repeatedly asking “Why does this disper-
                                sion occur?” For example, we might want to know why all of our fresh
                                peaches don’t have the same color.
                                   The production process class cause-and-effect diagram uses production
                                processes as the main categories, or branches, of the diagram. The pro-
                                cesses are shown joined. Other common themes in cause-and-effect dia-
                                grams include those with main branches designated using the 5M and E
                                (machine, method, manpower, material, measurement, and environment)
                                and the 4P (people, policy, procedure, plant).
                                   An example is shown in Fig. 15.3.
                                   The cause enumeration cause-and-effect diagram simply displays all
                                possi ble causes of a given problem grouped according to rational catego-
                                ries. This type of cause-and-effect diagram lends itself readily to the brain-
                                storming approach.
                                   Cause-and-effect diagrams have a number of uses. Creating the dia-
                                gram is an education in itself. Organizing the knowledge of the group
                                serves as a guide for discussion and frequently inspires more ideas. The
                                cause-and-effect dia gram, once created, acts as a record of your research.
                                Simply record your tests and results as you proceed. If the true cause is
                                found to be something that wasn’t on the original diagram, it should be
                                added. Finally, the cause-and-effect diagram is a display of your current
                                level of understanding. It is a good idea to post the cause-and-effect dia-
                                gram in a prominent location for handy reference in the future.
                                   A  variation  of  the  basic  cause-and-effect  diagram,  developed  by
                                Dr. Ryuji Fukuda of Japan, is cause-and-effect diagrams with the addition
                                of cards, or CEDAC. The main difference is that the group gathers ideas
                                outside of the meeting room on small cards, as well as in group meetings.
                                The cards also serve as a vehicle for gathering input from people who are
                                not in the group; they can be distributed to anyone involved with the pro-
                                cess. Often the cards provide more information than the brief entries on a
                                standard cause-and -effect diagram. The cause-and-effect diagram is built
                                by actually placing the cards on the branches.


                                Scatter Diagrams
                                A scatter diagram is a plot of one variable versus another: the independent
                                variable is shown on the horizontal (bottom) axis; the dependent variable is
                                shown on the vertical (side) axis.
                                   Scatter diagrams are used to evaluate the correlation of one variable
                                with the other.  The premise is that the independent variable is causing
                                a change in the dependent variable, although strictly speaking cause and
                                effect  cannot  be  proven  with  statistics  alone.  Scatter  plots  are  used  to







          15_Pyzdek_Ch15_p305-334.indd   319                                                          11/20/12   10:33 PM
   327   328   329   330   331   332   333   334   335   336   337