A COMPARATIVE ANALYSIS OF
THE TAGUCHI AND SHAININ DOE
TECHNIQUE IN SURFACE
AHMAD SYAFIQ BIN CHE RAHIM
The experimental study presented in this paper aims to highlight the
application of Taguchi and Shainin DOE
It also to compare the effectiveness of Taguchi and Shainin DOE
experimental design processes as applied to surface roughness
Statistical quality improvement methods such as Taguchi and DOE
techniques form an essential part of the search for improved
The Taguchi method has been widely used in engineering analysis
and is a powerful tools to design a quality system.
Design of experiments (DOE) or experimental design is the design of
any information-gathering exercises where variation is present,
whether under the full control of the experimenter or not.
To compare effectiveness Taguchi method and Shainin
DOE experimental design processes in surface roughness.
To determine applicability Taguchi method in optimizing
accuracy of surface roughness.
The adoption of the experimental design techniques
outlined in this paper and their application to a real
engineering problem will enable a company to apply the
techniques and to attain improvements in terms of cost
Logothetis, N., (1990). A Perspective on Shainin’s Approach to
Experimental Design for Quality Improvement. Quality and Reliability
Engineering International, 6 (3), pp. 195-202.
“Classical DOE and Taguchi approaches are still much more powerful,
more statistically valid and more robust. Shainin methods could
perhaps have some applicability in medium-to-high volume
processes for which a high level of quality has already been
achieved. They can also be used when dealing with binary response
(for example, a machine work or not) and the reason behind the
response may be due to a huge amount of variables”
Thomas A.J., Antony J., (2005). A Comparative Analysis of The Taguchi
and Shainin DOE Techniques in an Aerospace Environment.
International Journal of Productivity and Performance Management,
Vol. 54, No. 8, pp. 658-678.
“The Taguchi approach provides for a powerful product/process
enhancement capability where system robustness can be created
through the identification of a wider range of influential variables that
can affect system output. The Taguchi techniques provides its strength
through being able to accurately identify main effects and
interactions through partial factorial experimentation”
This paper identifies an optimum parameter setting gained from
applying these experimental design techniques to optimize Ra in
surface roughness measurement by setting cut of length, type of
probe and diameter of probe.
It also to compare effectiveness of Taguchi and Shainin DOE
method as applied to surface roughness.
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