| [ Exercise 14 ]
- Yum and Ko [1] recommended
starting with Taguchi's two-step procedure and applied the transformation
in case (C1) is not satisfied.
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- The factors are
in some cases identified, estimated, and easily implemented.
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- Either the design
factors should be examined or the two-step procedure should not
be implemented.
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- Simpler than conventional
methods, the proposed procedure analyzes an experiment with singly
censored data.
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- The maximum likelihood
method is not only frequently used by statisticians, but also
difficult to comprehend for those having limited statistical training.
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- Transforming the
relative importance of each response into a fuzzy number consists
of the following steps:
(a) Express the relative importance of each response by the linguistic
term.
(b) Establish a formal scale system that can convert linguistic
terms into their corresponding fuzzy numbers.
(c) Find a conversion scale that matches all of the linguistic
terms.
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- The numerical example
illustrates the cases derived in the previous section and demonstrates
the effectiveness of the proposed model
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- The most frequent
issues encountered in multi-response problems are resolving the
conflict among responses, dealing with a different measurement
unit for each response, and assigning a set of weights to the
current information about the relative response of each problem.
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- The two responses
can be optimized on the basis of determining the optimal settings
for factors B, C, D, E, F and G, while setting factor A at level
1 and factor H at level 3.
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- The committee decided
to set a new agenda and adjourn the meeting.
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- The robust design
focuses not only on collecting data accumulated from the designed
experiment, but also on comparing the results obtained by using
Taguchi's two-step procedure.
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- The proposed project
is promising, creative, and innovative.
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