Publication
Title
A blocked staggered-level design for an experiment with two hard-to-change factors
Author
Abstract
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.
Language
English
Source (journal)
Journal of quality technology / American Society for Quality Control. - Milwaukee, Wis., 1969, currens
Publication
Philadelphia : Taylor & francis inc , 2023
ISSN
0022-4065 [print]
2575-6230 [online]
DOI
10.1080/00224065.2023.2290560
Volume/pages
(2023) , 18 p.
ISI
001158025000001
Full text (Publisher's DOI)
Full text (open access)
The author-created version that incorporates referee comments and is the accepted for publication version Available from 08.02.2025
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 04.03.2024
Last edited 13.03.2024
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