Earticle

초록

영어

This research discusses the characteristics and the implementation strategies for two types of quality metrics to analyze innovation effects in six sigma projects: fixed specification type and moving specification type. , are quality metrics of fixed specification type that are influenced by predetermined specification. In contrast, the quality metrics of moving specification type such as Strictly Standardized Mean Difference(SSMD), Z-Score, F-Statistic and t-Statistic are independent from predetermined specification. sigma level obtains defective rates of Parts Per Million(PPM) and Defects Per Million Opportunities(DPMO). However, the defective rates between different industrial sectors are incomparable due to their own technological inherence. In order to explore relative method to compare defective rates between different industrial sectors, the ratio of specification and natural tolerance called, , is used. The drawback of this metric is that it is highly dependent on the specification. The metrics of F-Statistic and t-Statistic identify innovation effect by comparing before-and-after of accuracy and precision. These statistics are not affected by specification, but affected by type of statistical distribution models and sample size. Hence, statistical significance determined by above two statistics cannot give a same conclusion as practical significance. In conclusion, SSMD and Z-Score are the best quality metrics that are uninfluenced by fixed specification, theoretical distribution model and arbitrary sample size. Those metrics also identify the innovation effects for before-and-after of accuracy and precision. It is beneficial to use SSMD and Z-Score methods along with popular methods of sigma level and that are commonly employed in six sigma projects. The case studies from national six sigma contest from 2011 to 2012 are proposed and analyzed to provide the guidelines for the usage of quality metrics for quality practitioners.

목차

Abstract
 1. 서론
 2. 식스시그마 품질척도의 특성
  2.1 Zst 와 Ppk 품질척도의 특성 및 한계
  2.2 F-Statistic과 t-Statistic의 특성 및 한계
  2.3 관리한계 LSD 품질척도의 특성 및 확장
 3. Z-Score와 SSMD 품질척도의 제안
 4. 식스시그마 적용사례
  4.1 조사대상기업과 스펙유형
  4.2 Zst 와 Ppk 의 적용 및 분석
  4.3 F-Statistic과 t-Statistic의 적용 및 분석
  4.4 SSMD와 Z-Score의 적용 및 분석
 5. 결론
 6. References

키워드

저자

• 최성운 [ Sungwoon Choi | 가천대학교 산업공학과 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회지 [Journal of Korea Safety Management & Science]

• 간기

  계간

• pISSN

  1229-6783

• eISSN

  2288-1484

• 수록기간

  1999~2025

• 십진분류

  KDC 530 DDC 620