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Keywords: fractional design, Taguchi design, two-level design, dispersion effects.
This is a highly fractionated two-level factorial design employed as a screening design in an off-line welding experiment performed by the National Railway Corporation of Japan. There were 16 runs and 9 experimental factors. The response variable is the observed tensile strength of the weld, one of several quality characteristics measured. All other variables are at plus and minus levels.
Variable | Description | ||
Rods | Kind of welding rods | ||
Drying | Period of drying | ||
Material | Welded material | ||
Thickness | Thickness | ||
Angle | Angle | ||
Opening | Opening | ||
Current | Current | ||
Method | Welding method | ||
Preheating | Preheating | ||
Strength | Tensile strength of the weld in kg/mm | ||
Data File (tab-delimited text)
Taguchi, G., and Wu, Y. (1980). Introduction to Off-Line Quality Control. Central Japan Quality Control Association, Nagoya, Japan. |
Box, G. E. P., and Meyer, R. D. (1986). Dispersion effects from fractional designs. Technometrics 28, 19-27. |
Carroll, R. J., and Ruppert, D. (1988). Transformations and Weighting in Regression.Chapman and Hall, New York, pages 107-110. |
Bergman, B., and Hynén, A. (1997). Dispersion effects from unreplicated designs in the 2k-p series. Technometrics 39, 191-198. |
Nelder, J. A., and Lee, Y. (1998). Letter to the Editor: Joint modeling of mean and dispersion. Technometrics 40, 168-171. |
Huele, A. F., and Engel, J. (1998). Response to Nelder and Lee. Technometrics 40, 172-175. |
Smyth, G. K., Huele, F., and Verbyla, A. P. (2001). Exact and approximate REML for heteroscedastic regression. Statistical Modelling: An International Journal. Volume 1 #3. To appear. (Zipped Postscript). |
> jDrying <- jitter(Drying,factor=3) > plot(jDrying,Strength,type="n",xlab="Drying") > points(jDrying[Material==-1],Strength[Material==-1],col=2) > points(jDrying[Material==1],Strength[Material==1],col=4)
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