Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Truncated D-optimal designs for screening experiments
Computer Science and Engineering, Arizona State University, Tempe.
Computer Science and Engineering, Arizona State University, Tempe.
Industrial Engineering, Arizona State University, Tempe.ORCID iD: 0000-0003-4222-9631
2008 (English)In: American Journal of Mathematical and Management Sciences, ISSN 0196-6324, Vol. 28, no 3-4, p. 359-383Article in journal (Refereed) Published
Abstract [en]

D-optimal designs have proved useful in analyzing common factorial experiments involving multilevel categorical factors. When analyzed by ANOVA, they allow the estimation of coefficients in a regression equation and the contributions to the variance by the main effects and interactions. If the measurement of contribution to variance is necessary but the estimation of all interaction coefficients in the regression equation is not, it is possible to reduce the number of experimental runs below a minimum D-optimal design, using what we call truncated D-optimal screening designs. D-efficiency calculations are not available due to the singularity of the design matrix; another method must be used to pare down the matrix while maintaining reasonable estimation of the original full factorial data. Covering arrays are adapted to guide this reduction. Combining properties of D-optimal designs and covering arrays produces designs that perform well at estimating full factorial results. A method is then developed to target specific interactions prior to the design of the experiment when process specific knowledge is available to indicate which interactions are least important

Place, publisher, year, edition, pages
2008. Vol. 28, no 3-4, p. 359-383
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-15622Local ID: f290f691-51da-42d1-bae0-30a6da82ad85OAI: oai:DiVA.org:ltu-15622DiVA, id: diva2:988596
Note
Upprättat; 2008; 20150527 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-03-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Kulahci, Murat

Search in DiVA

By author/editor
Kulahci, Murat
Reliability and Maintenance

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 27 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf