When it comes to designing a product or a process, the robust parameter design (RPD) methodology devised by Taguchi is recognized as a way to produce products or processes with less variability, while the specifications of products or processes are met, so that the ratio of nonconforming products can be as minimized as possible. Nevertheless, as a matter of fact, there have been many pros and cons concerning the RPD method, mainly because of the use of signal to noise ratio as the measure of quality characteristic. Meanwhile, the variability analysis method has been highly recommended as an alternative of the RPD in the literature. In this paper, it is demonstrated that RPD can also be implemented within the framework of the variability analysis, which is sounder in the statistical sense. In light of an example of RPD approach, the modeling and estimation procedure is discussed in some detail with a view to a comparison of the two methods.

1. 서론
 2. 요인실험과 반응표면모형
  2.1 요인실험
  2.2 변동성분석모형의 특징
  2.3 모형간의 변환
 3. 강건 설계 모형
  3.1 SN비와 실험배치
  3.2 망목특성(normal is best: NB)
  3.3 망소특성(smaller is better: SB)
  3.4 망대특성(higher is better: HB)
  3.5 SN비의 적용효과
  3.6 SN비의 적용효과
  3.7 강건설계의 개념분석의 특징
 4. 변동성 분석 모형
  4.1 변동성 분석 모형의 공통적 개념특징
  4.2 분석 과정
  4.3 변동성 분석 사례예
 5. 결론 및 제언
 참고문헌

• Haeil Ahn(Department of Industrial Engineering, Seokyeong University) | 안해일