Title
Optimum designs versus orthogonal arrays for main effects and two-factor interactions
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Milwaukee, Wis. ,
Subject
Economics
Source (journal)
Journal of quality technology. - Milwaukee, Wis.
Volume/pages
42(2010) :2 , p. 197-208
ISSN
0022-4065
ISI
000276125700007
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
Designs with full estimation capacity permit estimation of all main effects and all two-factor interactions. By allowing correlation among the effects, the run size of such designs can be smaller than required for a resolution of 5. To construct a design, one can either use commercial software for designs with optimized D-efficiencies or a catalog of orthogonal arrays. In the context of a wood construction experiment, we discuss how to choose between these approaches. We enumerate mixed-level and multilevel resolution-4 designs with run size up to 72 and with the maximum number of factors compatible with a full estimation capacity. Algorithmically constructed benchmark designs were generated with commercial software. Our study results in a list of recommended designs.
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