원문정보
Development of Extended Process Capability Index in Terms of Error Classification in the Production, Measurement and Calibration Processes
초록
영어
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.
목차
1. 서론
2. 생산 프로세스에서 PPCI와 PPPI의 개발
2.1 계량연속형 생산 프로세스
2.2 계수이산형 생산프로세스
3. 측정프로세스에서 MPCI 의 개발
3.1 비파괴 측정모형에서 MPCI의 개발
3.2 파괴 측정에서 MPCI의 개발
3.3 계수이산형 측정프로세스의 MPCI 개발
4. 교정프로세스에서 CCPI의 개발
4.1 수학적 모형과 불확도
4.2 교정 프로세스의 CCPI 개발
5. 통합 프로세스에서 EPCI 의 개발
6. 결론
7. 참고문헌
