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We consider production line design where the information available for equipment under consideration is unreliable, incomplete, or erroneous. We develop an analytic procedure for information gathering, which reduces uncertainty by systematically improving the information critical for overall design performance. We report test results using real design cases from General Motors.
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Feit et al. (2000) studied this question.
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