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Title
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A blocked staggered-level design for an experiment with two hard-to-change factors
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Author
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Abstract
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| Staggered-level designs have been introduced in the literature as cost-efficient and statistically efficient alternatives to split-plot and split-split-plot designs for experiments with multiple hard-to-change factors. In this article, we present an application of a staggered-level design to a staple fiber cutting process at Eastman. The experiment was run in blocks and involved one quantitative hard-to-change factor, one two-level categorical hard-to-change factor, and three quantitative easy-to-change factors. We review existing work on staggered-level designs, discuss D-, A- and I-optimal staggered-level designs and blocked staggered-level designs, and perform an analysis of the data from the staple fiber cutting experiment. |
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Language
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English
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Source (journal)
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Journal of quality technology / American Society for Quality Control. - Milwaukee, Wis., 1969, currens
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Publication
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Philadelphia
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Taylor & francis inc
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2024
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ISSN
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0022-4065
[print]
2575-6230
[online]
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DOI
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10.1080/00224065.2023.2290560
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Volume/pages
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56
:3
(2024)
, p. 177-194
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ISI
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001158025000001
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Full text (Publisher's DOI)
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Full text (open access)
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The author-created version that incorporates referee comments and is the accepted for publication version Available from 08.02.2025
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