Title
Selecting a Best Two-Level 16-Run Screening Design from the Catalog of Nonisomorphic Regular and Nonregular Designs for Six to Eight Factors
Abbreviated Journal Title
Qual. Eng.
Keywords
alias patterns; design generators; desirability functions; nondominated; designs; Pareto front optimization; supersaturated; RESPONSE-SURFACE DESIGN; MULTIPLE CRITERIA; PARETO FRONTIER; OPTIMIZATION; Engineering, Industrial; Statistics & Probability
Abstract
When exploring first-order models including two-factor interactions for six to eight factors using a 16-run design, there are many possible model choices. Building on the Johnson and Jones (2010) catalog of the nonisomorphic regular and nonregular design alternatives, we summarize which of these design options are most promising based on two common design criteria. The Pareto fronts based on the criteria E(s(2)) and tr(AA') suggest that only a handful of the possible designs should be considered further, and the best design depends on the relative emphasis given each of the two criteria. This article considers each case of six, seven, and eight factors for 16-run two-level designs and provides numerical and graphical comparisons between the alternatives to highlight the merits of the leading candidates.
Journal Title
Quality Engineering
Volume
26
Issue/Number
3
Publication Date
1-1-2014
Document Type
Article
Language
English
First Page
269
Last Page
284
WOS Identifier
ISSN
0898-2112
Recommended Citation
"Selecting a Best Two-Level 16-Run Screening Design from the Catalog of Nonisomorphic Regular and Nonregular Designs for Six to Eight Factors" (2014). Faculty Bibliography 2010s. 5729.
https://stars.library.ucf.edu/facultybib2010/5729
Comments
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