Journal of Integrative Natural Science (통합자연과학논문집)

The Basic Science Institute Chosun University (조선대학교 기초과학연구원)
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An Alternative Optimization Procedure for Parameter Design

  • Kwon, Yong Man (Department of Computer Science & Statistics, Chosun University)
  • Received : 2019.07.12
  • Accepted : 2019.09.18
  • Published : 2019.09.30
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Abstract

Taguchi has used the signal-to-noise ratio (SN) to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Taguchi has dealt with having constraints on both the mean and variability of a characteristic (the dual response problem) by combining information on both mean and variability into an SN. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. In this paper we propose a substantially simpler optimization procedure for parameter design to solve the dual response problems without resorting to SN.

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References

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