Page 480 - Design for Six Sigma a Roadmap for Product Development
P. 480

Fundamentals of Experimental Design  439

             In Table 12.12 we can find that since all the contrast coefficients for
           ABC are  1s, we will not be able to estimate the effect of ABC at all.
           However, for other main effects and interactions, the first four runs
           have equal numbers of  1s and  1s, so we can calculate their effects.
           However, we can find that the contrast coefficients of A are identical
           as those of BC, and the contrast coefficients of B are exactly the same
           as those of AC, as well as C and AB. Since the effects are computed
           using the contrast coefficient, there is no way to distinguish the
           effects of A and BC, B and AC, and C and AB. For example, when we
           estimate the effect of A, we are really estimating the combined effect
           of  A and  BC. This mixup of main effects and interactions is called
           aliases or confounding.
             All alias relationships can be found from the defining relation: I
           ABC. If we simply multiply A on both sides of the equation, we get AI
           AABC. Since multiplying identical columns will give an I column, this
           equation becomes A   BC. Similarly, we can get B   AC and C   AB.
           This half-fraction based on I   ABC is called the principal fraction.
             If we use the second half of Table 12.12, the defining relationship
           will be I   ABC. Because all ABC coefficients are equal to  1s, we
           can easily determine that A   BC, B   AC, and C   AB. Therefore
           A is aliased with   BC, B is aliased with   AC, and  C is aliased
           with  AB.
             In summary, in the case of half-fractional two-level factorial experi-
           ments, we will completely lose the information about the highest order
           interaction effect and partially lose some information about lower-
           order interactions.


           12.4.2 How to lay out a general half
                     k
           fractional 2 design
           The half-fractional 2 design is also called 2 k   1  design, because it has
                               k
           N   2 k  1  runs.
             Using the definition relationship to lay out the experiment, we
           describe the procedure to lay out 2 k   1  design, and illustrate it with an
           example.

             Step 1: Compute N   2  k  1  and determine the number of runs. For
             Example 12.6, for k   4, N   2 k   1    2   8.
                                                 3
             Step 2: Create a table with N runs and lay out the first k   1 factors
             in standard order. For example, for k   4, the factors are A, B, C, and
             D, and the first k   1   3 factors are A, B, and C, as shown in Table
             12.13.
               We will lay out the first three columns with A, B, and C in stan-
             dard order.
   475   476   477   478   479   480   481   482   483   484   485