The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Detection of Influential Interaction Effects in Parameter Design

파라미터 설계법에서 교호작용효과의 검출방법

  • Sang Ik Kim (Department of Applied Statistic, Kon Kuk University, Seoul 133-701, Korea)
  • Published : 1994.09.01
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Abstract

Ignoring interaction effects has been pointed out to be one of serious drawbacks in analysis of the parameter designs which are constructed by using orthogonal arrays. In this paper a detecting procedure of influential 2-factor inteactions with minimum expeimental runs is described, when each contrl factor has two levels. The presented method is based on the near orthogonal arrays which are very similar to orthogonal arrays in the statistical structure. And those arrarys are the same as trace-optimal balanced saturated two-level fractional factorial designs of resolution V.

다구찌에 의해서 개발된 파라미터 설계법에서는 교호작용효과를 무시하고 직교배열을 이용하여 실험을 분석하는 것이 일반적인 방법으로 사용되고 있다. 본 논문에서는 직교배열과 거의 유사한 통계적 성질을 가지면서 최소의 실험횟수로 2인자 교호작용까지 분석할 수 있는 실험계획을 제시하고, 이러한 계획법에 의해 파라미터 설계법을 분석하고 유의적인 2인자 교호작용까지 검출하는 방법을 제시하였다.

Keywords

References

  1. Technometrics v.3 The $2^ {k-p}$ Fractional Factorial Design $Ⅰ$ Box,G.E.P.;Hunter,J.S.
  2. Technometrics v.28 An Analysis for Unreplicated Fractional Factorials Box,G.E.P.;Meyer,R.D.
  3. Technometrics v.30 Performance Criteria and Transformation (with discussion) Box,G.E.P.
  4. Technometrics v.1 Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments Daniel,C.
  5. Journal of Quality Technology v.17 Statistical Design Applied to Production Design Hunter,J.S.
  6. Journal of Quality Technology v.17 Off-line Quality control, Parameter Design, and the Taguchi Method Kacker,R.N.
  7. The Korean Journal of Applied Statistics v.5 Minimal Balanced $2^ t$ Fractional Factorial Designs of Resolution V and Taguchi Method Kim,S.I.
  8. Journal of Quality Technology v.17 Off-line Quality Control, Parameter Design, and the Taguchi Method: Discussion Pignatiello,J.J.Jr.;Ramberg,J.S.
  9. American Supplier Institute News Product Improvement by Application of Taguchi Method Quinlan,J.
  10. S.N.Roy Memotial Volume Optimal Balanced $2^ m$ Fractional Factorial Designs Srivastava,J.N.
  11. Annals of Mathematical Statistics v.42 On the Characteristic Roots of the Information Matrix of $2^ m$ Balanced Factiorial Design of Resolution V, with Applications Srivastava,J.N.;Chopra,D.V.
  12. Introduction to Off-line Quality Control Taguchi,G.;Wu,Y.
  13. IEEE Quality Engineering through Design Optimization Taguchi,G.;Phadke,M.S.
  14. Introduction to Quality Engineering Taguchi,G.