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Designing fractiona...
Designing fractional factorial split-plot experiments using integer programming
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- Capehart, Shay R. (författare)
- Department of Mathematics at the Air Force Institute of Technology
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- Keha, Ahmet (författare)
- Industrial Engineering at Arizona State University
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- Kulahci, Murat (författare)
- Department of Informatics and Mathematical Modelling, Technical University of Denmark
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- Montgomery, Douglas C. (författare)
- Division of Mathematical and Natural Sciences, Arizona State University
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(creator_code:org_t)
- 2011
- 2011
- Engelska.
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Ingår i: International Journal of Experimental Design and Process Optimisation. - 2040-2252 .- 2040-2260. ; 2:1, s. 34-57
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Tillförlitlighets- och kvalitetsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Reliability and Maintenance (hsv//eng)
Nyckelord
- Kvalitetsteknik
- Quality Technology and Management
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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