Comparing different approaches for design of experiments (DoE)

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dc.contributor.authorTanco, Martín
dc.contributor.authorViles, Elisabeth
dc.contributor.authorPozueta, Lourdes
dc.contributor.institutionCentros PRE-FUSION TECNALIA - (FORMER)
dc.date.accessioned2024-07-24T11:52:55Z
dc.date.available2024-07-24T11:52:55Z
dc.date.issued2009
dc.description.abstractDesign of Experiments (DoE) is a methodology for systematically applying statistics to experimentation. Since experimentation is a frequent activity at industries, most engineers (and scientists) end up using statistics to analyse their experiments, regardless of their background. OFAT (one-factor-at-a-time) is an old-fashioned strategy, usually taught at universities and still widely practiced by companies. The statistical approaches to DoE (Classical, Shainin and Taguchi) are far superior to OFAT. The aforementioned approaches have their proponents and opponents, and the debate between them is known to become heated at times. Therefore, the aim of this paper is to present each approach along with its limitations.en
dc.description.statusPeer reviewed
dc.format.extent11
dc.identifier.citationTanco , M , Viles , E & Pozueta , L 2009 , Comparing different approaches for design of experiments (DoE) . in Advances in Electrical Engineering and Computational Science . Lecture Notes in Electrical Engineering , vol. 39 LNEE , pp. 611-621 . https://doi.org/10.1007/978-90-481-2311-7_52
dc.identifier.doi10.1007/978-90-481-2311-7_52
dc.identifier.isbn9789048123100
dc.identifier.issn1876-1100
dc.identifier.urihttps://hdl.handle.net/11556/2242
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=78651542499&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofAdvances in Electrical Engineering and Computational Science
dc.relation.ispartofseriesLecture Notes in Electrical Engineering
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsClassical
dc.subject.keywordsDesign of Experiments
dc.subject.keywordsShainin
dc.subject.keywordsStatistical approach
dc.subject.keywordsTaguchi
dc.subject.keywordsIndustrial and Manufacturing Engineering
dc.titleComparing different approaches for design of experiments (DoE)en
dc.typeconference output
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