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164   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    165


                                       random data from the process, or a box of parts shipped from your
                                       supplier, since the time sequence of the data has been lost.

                                Variable Control Charts
                                In SPC, the mean, range, and standard deviation are the statistics most often
                                used for analyzing measurement data. Control charts are used to moni tor
                                these statistics. An out-of-control point for any of these statistics is an indica-
                                tion that a special cause of variation is present and that an immediate inves-
                                tigation should be made to identify the special cause.

                                Average and Range Control Charts
                                Average charts (usually called X charts in reference to the symbol used to
                                designate the averages in Table 9.1) are statistical tools used to evaluate the
                                central tendency of a process over time. Range charts are statistical tools
                                used to evaluate the dis persion or spread of a process over time.
                                   Average charts answer the question “Has a special cause of variation
                                caused the central tendency of this process to change over the time period
                                observed?” Range charts answer the question “Has a special cause of vari-
                                ation  caused  the  process  distribution  to  become  more  or  less  erratic?”
                                Average and range charts can be applied to any continuous variable like
                                weight, size, cycle time, error rate, and so on, subject to the conditions
                                necessary for rational subgroups.
                                   A predefined subgroup size is defined for the given process. Typical
                                subgroup sizes are three or five observations in the subgroup.
                                   The average and range are computed for each subgroup separately, then
                                plotted on the control chart. Each subgroup’s statistics are compared with
                                the control limit, and patterns of variation between subgroups are analyzed.

                                Subgroup Equations for Average and Range Charts


                                                sum of subgroup measurements
                                            X =
                                                        subgroup size

                                                                                    u
                                            R R = largest in subgroup  − smallest in subgroup
                                Table 9.3 contains 25 subgroups of five observations each. The average
                                and range for each subgroup are shown in the table.
                                Control Limit Equations for Average and Range Charts  Control limits for both the
                                average  and  the  range  charts  are  computed  such  that  it  is  highly
                                unlikely that a subgroup average or range from a stable process would
                                fall outside of the limits. All control limits are set at plus and minus
                                three standard deviations from the centerline of the chart. Thus, the
                                control limits for subgroup averages are plus and minus three standard
                                deviations of the mean from the grand average; the control limits for








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