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Optimization and Trade-Off Analysis A design survey was used in order to rate the
importance of the design criteria presented earlier.
The survey consisted 19 individuals from Grove Worldwide who work in
Marketing, Design Engineering, and Manufacturing Engineering.
The individuals’ positions included management and engineers.
The design survey is shown below. Design
Survey Please take the time to rate the following
design criteria for a cab frame design – cab frame consisting of the outer
shell of the cab. The criteria
should be rated on a scale from 1 to 4, 1 being of highest importance.
There are no right or wrong answers.
This information will be used for an optimization analysis for a systems
engineering project. Thank you for
your input. Rate the following Criteria:
The survey results were used to estimate a weighting factor
for each criterion. This is
basically equivalent to a probability factor.
First, a weighted score was calculated for each criterion by taking the
number of each ranking times the rank and adding all values.
(In this calculation, in order for a rank of 1 to be of highest
important, rank 1 was given a value of 4, rank 2 was given a value of 3, etc.)
The weighting factor was then calculated by dividing the weighted score
by the total of all weighted scores. Shown
below is a sample calculation for appearance.
The calculated weighting factors are shown for each
evaluation criteria in the table below.
A decision table was used to evaluate each manufacturing
method with respect to the criteria. Cost
and time-to-market was ranked according raw data received from Design
Engineering. Appearance and
functionality are somewhat subjective and were ranked by an engineer involved
with the project. The decision
table is shown below.
With the rank and weighting factor known, the weighted
rank is calculated as shown in the table below.
As one can see from Table 4, using structural adhesives is the optimal choice for the cab frame design. In addition, further analysis of Table 3 shows that in the absence of weighting factors the results using the Laplace Criterion (straight average) or a regret matrix results in the same optimal design. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||