Title
Selecting A Best Two-Level 16-Run Screening Design From The Catalog Of Nonisomorphic Regular And Nonregular Designs For Six To Eight Factors
Keywords
alias patterns; design generators; desirability functions; nondominated designs; Pareto front optimization; supersaturated designs
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(s2) 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. © 2014 Taylor and Francis Group, LLC.
Publication Date
7-3-2014
Publication Title
Quality Engineering
Volume
26
Issue
3
Number of Pages
269-284
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/08982112.2013.854903
Copyright Status
Unknown
Socpus ID
84901686047 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84901686047
STARS Citation
Lu, Lu; Johnson, Mark E.; and Anderson-Cook, Christine M., "Selecting A Best Two-Level 16-Run Screening Design From The Catalog Of Nonisomorphic Regular And Nonregular Designs For Six To Eight Factors" (2014). Scopus Export 2010-2014. 8642.
https://stars.library.ucf.edu/scopus2010/8642