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다구찌 기법과 요인실험의 실험 데이터의 산포 크기에 따라 결과 변화 고찰

Study on the Result Changes with the Size of the Variance in Taguchi Method and Factor Experimental

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초록

Purpose: The purpose of this paper is to show whether the results are changed with respect to the variance of the data, by analysis of data obtained from the Taguchi experimental techniques and general experiment. Because which cannot be prove by mathematical Formula, through experimental examples will show. Methods: Taguchi experiments were carried out with paper Helicopter experiment. Experimental Data are obtained by special designed Drop Test Equipment. While Experimental value arbitrarily changed, we looked at how Significant control Factor of Taguchi Methods and Factor experiments are changed. This process cannot be expressed as a Mathematical formula, but showed as a numerical example. Results: Saw significant changes in the factors when data is outside a certain range of the experimental data. By Test of Equivalence Variance, Experiment data is verified reliability. To find the Control Factor, Taguchi Method is better than the general experiment. Conclusion: We know that a Significant Factor is changed with the range of Variance of Experiment Data. The value of this paper is verified change process with Numerical Data obtained Experiment.

Abstract

Purpose: The purpose of this paper is to show whether the results are changed with respect to the variance of the data, by analysis of data obtained from the Taguchi experimental techniques and general experiment. Because which cannot be prove by mathematical Formula, through experimental examples will show. Methods: Taguchi experiments were carried out with paper Helicopter experiment. Experimental Data are obtained by special designed Drop Test Equipment. While Experimental value arbitrarily changed, we looked at how Significant control Factor of Taguchi Methods and Factor experiments are changed. This process cannot be expressed as a Mathematical formula, but showed as a numerical example. Results: Saw significant changes in the factors when data is outside a certain range of the experimental data. By Test of Equivalence Variance, Experiment data is verified reliability. To find the Control Factor, Taguchi Method is better than the general experiment. Conclusion: We know that a Significant Factor is changed with the range of Variance of Experiment Data. The value of this paper is verified change process with Numerical Data obtained Experiment.

참고문헌 (9)

  1. Joseph J., "Discuss about: Raghu N. Kackar’s Taguchi Method", Journal of Quality Technology, 17(4), pp.198~206 (1985)
  2. Taguchi's quality engineering 1 : Design phase of development, "KSA(tranlated)", Korean Standards Association, ~ (1991)
  3. Park, Sunghyun, "Modern Design of Experiment" (2009), Minyoungsa
  4. Raghu N., "Off-line Quality Control, Parameter Design, and theTaguchi Method", Journal of Quality Technology, 17(4), pp.176~188 (1985)
  5. Ree, Sangbok, "Analysis of Quality Loss Function(QLF) of Taguchi", Journal of Quality Management, 25(3), pp.82~91 (1997)
  6. 이상복, "동특성 파라미터 설계의 3종류 SN비 비교 분석", 품질경영학회지, 29(4), pp.82~91 (2001), 한국품질경영학회
  7. Ree, Sangbok, "Easy Taguchi technique from foundation to the field application, the third edition" (2003), Sangjosa
  8. Ree, Sangbok, "Method determining level of Noise Factor of Taguchi Method under various probability distribution", Journal of Quality Management, 37(4), pp.10~15 (2009)
  9. Cooperative public lectures, experimental design and analysis: utilizing Taguchi method and the orthogonal table, "Yum, Bongjin", KAIST, ~ (2000)

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