RT Conference Proceedings
T1 Comparing different approaches for design of experiments (DoE)
A1 Tanco, Martín
A1 Viles, Elisabeth
A1 Pozueta, Lourdes
AB Design 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.
SN 9789048123100
SN 1876-1100
YR 2009
FD 2009
LK https://hdl.handle.net/11556/2242
UL https://hdl.handle.net/11556/2242
LA eng
NO Tanco , 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
DS TECNALIA Publications
RD 30 jul 2024