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Generating blocked fractional factorial split-plot designs using integer programming

Authors :
Capehart, Shay R.
Keha, Ahmet B.
Kulahci, Murat
Montgomery, Douglas C.
Source :
International Journal of Experimental Design and Process Optimisation; January 2012, Vol. 3 Issue: 2 p111-132, 22p
Publication Year :
2012

Abstract

Split-plot designs are commonly used in industrial experiments when there are hard-to-change and easy-to-change factors. Due to the number of factors and resource limitations, it is more practical to run a fractional factorial split-plot (FFSP) design. These designs are variations of the fractional factorial (FF) design, with the restricted randomisation structure to account for the whole plots and subplots. When all the experimental runs cannot be performed under the same conditions, the designs are split into blocks. We discuss the formulation of blocked fractional factorial split-plot (BFFSP) designs using integer programming (IP) to achieve various design criteria.

Details

Language :
English
ISSN :
20402252 and 20402260
Volume :
3
Issue :
2
Database :
Supplemental Index
Journal :
International Journal of Experimental Design and Process Optimisation
Publication Type :
Periodical
Accession number :
ejs28328607
Full Text :
https://doi.org/10.1504/IJEDPO.2012.049297