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DFSS Transfer Function and Scorecards 205

Target

Prob. Density, f(.) Quality Loss

FR

Target

Prob. Density, f(.) Quality Loss

Figure 6.13 The quality loss
function.

FR

model and geometry. Transfer functions other than direct documented
knowledge are approximate and for the purposes of the DFSS algo-
rithm are valid until proved wrong or disposed of by the evolution of
other adopted technologies.

6.4.3 DFS scorecard development
The scorecard identifies which DPs contribute most to variation and
mean in the response of the transfer function and the optimized design
point. Tightening tolerances may be appropriate for these parameters.
The proposed scorecard is depicted in Fig. 6.14. The team has the free-
dom to customize the scorecard by adding more requirements.
Prior to discussing the entries of the scorecards we will make the
following remarks:
■ The team should remember that a scorecard is related to hierarchical
structure (see Fig. 6.8). There will be a number of scorecards equal
to the number of hierarchical levels in the concerned structure.