Abstract
Robust parameter design is an effective tool for variation reduction. The planning aspect of this methodology is studied in this chapter. The distinction between the control factors and the noise factors in parameter design experiments is discussed. This leads to new priorities and criteria in the choice of designs. Two experimental strategies, cross and single arrays, which play major roles in this context, are explored in the light of the new priorities.
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© 2006 Springer Science+Business Media, Inc.
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(2006). Robust Parameter Design. In: A Modern Theory of Factorial Designs. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-37344-6_9
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DOI: https://doi.org/10.1007/0-387-37344-6_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-31991-9
Online ISBN: 978-0-387-37344-7
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