Abstract
In the traditional approach to experimentation, experimenters may vary one factor or variable, keeping all other factors in the experiment fixed. This is also called the one-factor-at-a-time approach to experimentation. Here a factor refers to a controlled or uncontrolled variable where influence upon a response (or output) is studied during the experiment [1]. A factor can be either qualitative (i.e. different detergents, machines, vendors, catalysts and so on) or quantitative (i.e. pressure, time, temperature, speed and so on).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Juran, J.M. (1974) “Quality Control Handbook”, McGraw-Hill Publishers, 3rd Edition.
Montgomery, D.C. (1991) “Design and Analysis of Experiments”, John Wiley and Sons, Chichester.
Box, G.E.P. et al. (1978) “Statistics for Experimenters”, John Wiley Publishers.
Lin, Dennis K. (1994) “Making Full Use of Taguchi’s Orthogonal Arrays”, International Journal of Quality and Reliability Engineering, Vol. 10, pp. 117–121.
Taguchi, G. and Konishi, S. (1987) “Orthogonal Arrays and Linear Graphs”,ASI, Center for Taguchi Methods, ASI Press.
Belavendram, N. (1995) “Quality by Design: Taguchi Techniques for Industrial Experimentation”, Prentice-Hall Publishers.
Gunst, R.F. et al. (1991) “How to Construct Fractional Factorial Experiments”, ASQC Statistics Division, ASQC Press.
Ross, J. (1988) “Taguchi Techniques for Quality Engineering”, Mcgraw-Hill Publishers.
Lucas, J.M. (1992) “Split Plotting and Randomisation in Industrial Experiments”, ASQC Quality Congress Transcations, Nashville, pp. 374–382.
Bagchi, T.P. (1993) “Taguchi Methods Explained—Practical Steps to Robust Design”, Prentice-Hall of India.
Heil, H. and Horma, B. (1986) “Maximisation of Weld Strength Using Taguchi Methods”, 4th Symposium on Taguchi Methods, pp. 273–287.
Antony, J. and Kaye, M. (1996) “Optimisation of Core Tube Life Using Taguchi Experimental Design Methodology”, Quality World Technical Supplement, March pp. 42–50.
Montgomery, D.C. (1991) “Design and Analysis of Experiments”, John Wiley and Sons, Chichester.
Anand, K.C. et al. (1994) “Wet method of Chemical Analysis of Cast Iron: Upgrading accuracy and precision through experimental design”, Quality Engineering, ASQC, pp. 187–208.
Tsui, K-L. (1988) “Strategies for planning experiments using Orthogonal Arrays and Confounding Tables”, Quality and Reliability Engineering International, Vol. 4,113–122.
Mason, R.L., Gunst, R.E, and Hess, J.L. (1989) “Statistical Design and Analysis of Experiments”, John Wiley and Sons, New York.
Nelson, L.S. (1996) “Notes on the Use of Randomisation in Experimentation”, Journal of Quality Technology, Vol. 28, No. 1, pp. 123–126.
Shainin, R.D. (1993) “Strategies for Technical Problem Solving”, Quality Engineering, Vol. 3, pp. 433–448.
Barker, T.B. (1990) “Engineering Quality by Design—Interpreting the Taguchi Approach”, Marcel Dekker, Inc.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media New York
About this chapter
Cite this chapter
Antony, J., Kaye, M. (2000). The Taguchi Approach to Industrial Experimentation. In: Experimental Quality. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5293-2_3
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5293-2_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7415-2
Online ISBN: 978-1-4615-5293-2
eBook Packages: Springer Book Archive