생산, 측정 및 교정 프로세스에서 오차 유형화에 의한 확장 공정능력지수의 개발

Development of Extended Process Capability Index in Terms of Error Classification in the Production, Measurement and Calibration Processes

  • 발행 : 2009.06.30

초록

We develop methods for propagating and analyzing EPCI(Extended Process Capability Index) by using the error type that classifies into accuracy and precision. EPCI developed in this study can be applied to the three combined processes that consist of production, measurement and calibration. Little calibration work discusses while a great deal has been studied about SPC(Statistical Process Contol) and MSA(Measurement System Analysis). EPCI can be decomposed into three indexes such as PPCI(Production Process Capability Index), PPPI(Production Process Performance Index), MPCI(Measurement PCD, and CPCI(Calibration PCI). These indexs based on the type of error classification can be used with various statistical techniques and principles such as SPC control charts, ANOVA(Analysis of Variance), MSA Gage R&R, Additivity-of-Variance, and RSSM(Root Sum of Square Method). As the method proposed is simple, any engineer in charge of SPC. MSA and calibration can use efficientily in industries. Numerical examples are presentsed. We recommed that the indexes can be used in conjunction with evaluation criteria.

키워드

참고문헌

  1. 최성운, '측정 불확도 모형 분류 및 평가',대한안전경영과학회지, 9 (1) (2007) : 145-156
  2. 최성운, '측정시스템 분석 모형의 고찰 및 새로운 모형의 제안', 대한안전경영과학회지, 10 (1) (2008) : 191-195
  3. 최성운, '분할법에서 EMS 알고리즘을 이용한 풀링 분산검정', 대한안전경영과학회지, 10 (3) (2008) : 245-251
  4. 최성운, '이산공정에서 SPC 관리도에 의한 Z시그마 수준과 PCI 및 PPI의 산출', 대한안전경영과학회지, 11 (1) (2009) : 131-136
  5. 최성운, '정확도와 정밀도 오차에 의한 PCI, PPI 및 Z시그마 수준의 유형화', In Press
  6. Borror C.M., Montgomery D.C., Runger G.C., 'Confidence Intervals for Variance Components from Gauge Capability Studies', Quality and Reliability Engineering International, 13 (1997) : 361-369 https://doi.org/10.1002/(SICI)1099-1638(199711/12)13:6<361::AID-QRE126>3.0.CO;2-2
  7. Bothe D.R., Measuring Process Capability, Landmark Publishing Inc., 2001
  8. Breyfogle F.W., Implementing Six Sigma, 2nd Edition, John Wiley & Sons, 2003
  9. Burdick R.K., Allen A.E., Karsen G.A., ' Comparing Variability of Two Measurement Processes Using R&R Studies', Journal of Quality Technology, 34 (2002) : 97-105 https://doi.org/10.1080/00224065.2002.11980132
  10. Harter H.L, 'On the Analysis of Split-Plot Experiments', Biometrics, 17 (1) (1961) : 144-149 https://doi.org/10.2307/2527501
  11. KSA 3000:2005 측정결과의 불확도 측정 및 표현을 위한 지침
  12. Pyzedek T., The Six Sigma Handbook, 2nd Edition, McGraw-Hill, 2003
  13. Rao C.V., Saxena K.P., ' A Study of Power of a Test Procedure Based on Two Preliminary Tests of Significance', Estadiska, 33 (1979) : 201-214
  14. Rezaie K., Ostadi B., Taghizadeh M.R., 'Applications of Process Capability and Process Performance Indices', Journal of Applied Sciences, 6 (5) (2006) : 1186-1191 https://doi.org/10.3923/jas.2006.1186.1191
  15. http://www.kasto.or.kr
  16. http://www.kriss.re.kr
  17. http://kolas.ats.go.kr