Publication
Title
Staggered-level designs for response surface modeling
Author
Abstract
In industrial experiments, there are often restrictions in randomization caused by equipment and resource constraints, as well as budget and time constraints. Next to the split-plot and the split-split-plot design, the staggered-level design is an interesting design option for experiments involving two hard-to-change factors. The staggered-level design allows both hard-to-change factors to be reset at different points in time, resulting in a typical staggering pattern of factor-level resettings. It has been shown that, for two-level designs, this staggering pattern leads to statistical benefits in comparison to the split-plot and the split-split-plot design. In this article, the authors investigate whether the benefits of the staggered-level design carryover to situations where the objective is to optimize a response and where a second-order response surface model is in place. To this end, the authors study several examples of D- and I-optimal staggered-level response surface designs.
Language
English
Source (journal)
Journal of quality technology. - Milwaukee, Wis.
Publication
Milwaukee, Wis. : 2015
ISSN
0022-4065
Volume/pages
47:2(2015), p. 156-175
ISI
000351486400012
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 15.04.2015
Last edited 16.10.2017
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