A Systematic Approach to Planning for a Designed Industrial

In regard to item 12 of figure 2 an experiment

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Unformatted text preview: probably fail. Though a statistician can play this role, it is often better played by another member of the experimentation team, who can “champion” the experiment among peers. The statistician (or surrogate) can play a strong support role and be primarily responsible for that in which he or she is professionally trained-the design and analysis of the experiment and not the execution. Finally, considering item 13 of the guide sheet, the team should entertain the idea of trial runs to precede the experiment-especially if this is the first in a series of experiments. A trial run can consist of a centerpoint run or a small part (perhaps a block) of the experiment. The first and most important purpose of trial runs is to learn and refine experimental procedures without risking the loss of time and expensive experimental samples. Most experiments involve people (and sometimes machines) doing things that they have never done before. Usually some practice helps. A second important reason for trial runs is to estimate experimental error before expending major resources. An unanticipated large experimental error could lead to canceling or redesigning the experiment, widening the ranges of settings, increasing the number of replicates, or refining the experimental procedure. An unanticipated small experimental error (does this ever really happen?) could have opposite effects on plans or cause the experimenters to reassess whether the estimate is right or complete. A third reason is that trial runs are also excellent opportunities to ensure that data-acquisition systems are functioning and will permit experimental runs to be conducted as fast as had been planned. Last, a fourth reason is that trial runs may yield results so unexpected that the experimenters decide to change their experimental plans. Naturally, the feasibility and advisability of conducting trial runs depends on the context, but the experiment teams in which we have been involved have never regretted conducting trial runs. Some trial runs have saved experiments from disaster. 10. SUMMARY To...
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This document was uploaded on 02/12/2014.

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