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        250             A Glossary for Design of Experiments with Examples
        Table 16.8 Design resolution and respective orders aliased effects.
        Resolution  Smallest sum of order of aliased effects
        III        Main effects + 2-way interactions
        IV         Main effects + 3-way interactions; 2-way interactions + 2-way interactions
         V         Main effects + 4-way interactions; 2-way interactions + 3-way interactions
        VI         Main effects + 5-way interactions; 2-way interactions + 3-way interactions;
                     3-way interactions + 2-way interactions



        16.5.4 Design resolution
        The resolution of a two-level fractional factorial design is the smallest sum of the
        orders of aliased effects (see Table 16.8) To avoid confounding of two-way interactions,
        which is quite common in reality, Resolution III designs should be avoided whenever
        possible, while designs of Resolution V and above are preferred.


                                 16.6 ROBUST DESIGN

        16.6.1 Loss function

          Quality is the loss imparted to the society from the time a product is shipped. (Genichi Taguchi)

        A loss function is a mathematical relationship between loss (however it may be defined)
        and a selected performance characteristic.


        16.6.1.1 Goalpost loss function
        All values of a performance characteristic that lie within the specification limits are
        equally acceptable and, therefore, all the corresponding products are of equal quality
        (see Figure 16.9).


        16.6.1.2 Quadratic loss function
        The loss (degree of discontent) associated with a performance measure is minimized
        when the measure is on target, and it increases in proportion to the squared departure
        of the measure from its target (see Figure 16.10).


                                  LSL                   USL
                             Loss




                                       Performance Measure
                         Figure 16.9 Illustration of goalpost loss function.
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