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Designing fractional factorial split-plot experiments using integer programming
Department of Mathematics at the Air Force Institute of Technology.
Industrial Engineering at Arizona State University.
Department of Informatics and Mathematical Modelling, Technical University of Denmark.ORCID iD: 0000-0003-4222-9631
Division of Mathematical and Natural Sciences, Arizona State University.
2011 (English)In: International Journal of Experimental Design and Process Optimisation, ISSN 2040-2252, E-ISSN 2040-2260, Vol. 2, no 1, p. 34-57Article in journal (Refereed) Published
Abstract [en]

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. We discuss the formulation of FFSP designs using integer programming (IP) to achieve various design criteria. We specifically look at the maximum number of clear two-factor interactions and variations on this criterion.

Place, publisher, year, edition, pages
2011. Vol. 2, no 1, p. 34-57
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-4386DOI: 10.1504/IJEDPO.2011.038050Local ID: 253a1d18-a08f-4877-ba0e-dc89775ee9b5OAI: oai:DiVA.org:ltu-4386DiVA, id: diva2:977252
Note
Upprättat; 2011; 20150617 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-16Bibliographically approved

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Kulahci, Murat

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  • nn-NB
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  • Other locale
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  • text
  • asciidoc
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