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Title
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Staggered-level designs for experiments with more than one hard-to-change factor
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Author
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Abstract
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| In many industrial experiments, some of the factors are not independently set for each run. This is due to time and/or cost constraints and to the hard-to-change nature of the levels of these factors. Most of the literature restricts attention to split-plot designs in which all the hard-to-change factors are independently reset at the same points in time. This constraint is to some extent relaxed in split-split-plot designs because these allow the less hard-to-change factors to be reset more often than the most hard-to-change factors. A key feature of the split-split-plot designs, however, is that the less hard-to-change factors are reset whenever the most hard-to-change factors are reset. In this article, we relax this constraint and present a new type of design, which allows the hard-to-change factor levels to be reset at entirely different points in time. We show that the new designs are cost-efficient and that they outperform split-plot and split-split-plot designs in terms of the D- and A-optimality criteria. Because of the fact that the hard-to-change factors are independently reset alternatingly, we name the new designs staggered-level designs. Supplementary materials for this article are available online. |
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Language
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English
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Source (journal)
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Technometrics : a journal of statistics for the physical, chemical, and engineering sciences. - Washington, D.C., 1959, currens
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Publication
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Washington, D.C.
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2012
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ISSN
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0040-1706
[print]
1537-2723
[online]
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Volume/pages
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54
:4
(2012)
, p. 355-366
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ISI
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000312054000004
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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