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132        Six SigMa  DemystifieD


                        measured. Manipulating the factors over a wide range provides the best chance
                        of detecting a change in the process that otherwise may be too subtle to detect.
                        (A detailed discussion of these techniques is presented in the “Design of Experi-
                        ments” section in Part 3.)
                          Consider the case of the villainous cartoon arch nemesis seeking to accu-
                        rately propel a rock of sufficient size at our hero using yet another fine product
                        from the ACME Corporation. There are several factors that may be varied to
                        affect the slingshot’s accuracy, including the size of the rubber band, the draw-
                        back distance, and the weight of the boulder to be hurdled through the air. The
                        response variable to be measured is the distance from the large bull’s-eye (sold
                        separately).
                          For most designs, and especially in the early stages of the analysis, we can
                        conveniently limit the design to two levels of each factor. Once we determine
                        which factors are significant, we can expand the design as necessary, depending
                        on our objectives.
                          How does a designed experiment differ from the traditional (sometimes
                        called one factor at a time) experiments often first taught in grade school? In
                        traditional experiments, each factor is varied one at a time, such as shown in
                        Table 6.1. An initial trial (trial 1) is run with each of the factors set at its initial
                        level. The  response  (distance  from  the  target)  is  measured,  establishing  a
                        baseline.
                          A second trial then is run to measure the effect of the first factor (rubber
                        band size). The difference between the baseline response (trial 1) and the
                        observed response for trial 2 is assumed to be the effect of the manipulated
                        factor. In this case, increasing from the small rubber band to the large rubber
                        band results in a smaller distance from target of 14 units.

                          Likewise, the effect of the drawback distance is estimated by comparing
                        trials 3 and 1, and the effect of boulder weight is estimated by comparing trials
                        4 and 1. In this way, the effect of the drawback distance is estimated as a



                      TAble­6.1­ Example Traditional Experiment

                     Trial   Rubber Band   Drawback Distance  Boulder Weight   Distance from Target
                     1       Small         Short              Light            35
                     2       Large         	 Short            Light            21
                     3       Small         Long               Light            28
                     4       Small         Short              Heavy            27
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