Title
Staggered-level designs for experiments with more than one hard-to-change factor Staggered-level designs for experiments with more than one hard-to-change factor
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Washington, D.C. ,
Subject
Mathematics
Source (journal)
Technometrics : a journal of statistics for the physical, chemical, and engineering sciences. - Washington, D.C., 1959, currens
Volume/pages
54(2012) :4 , p. 355-366
ISSN
0040-1706
1537-2723
ISI
000312054000004
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
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.
E-info
https://repository.uantwerpen.be/docman/iruaauth/b80b28/4493702.pdf
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