단일분할법 측정 실험계획을 이용한 정밀측정도 분석
Analysis of Measurement Precisions Using Measurement Experimental Design for Split Plot
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초록
The study presents two measurement split-plot models with a restricted randomization to save cost and time. Split-plot models are used to handle HTCM (Hard To Control Measurement) factors such as high temperature and long-time catalyst control. The models developed are represented by the processes for estimating the measurement precisions, that is, gauge R&R. The study also introduces three-step procedures to indentify resolution, improve R&R reduction, and evaluate the precision effect.
Abstract
The study presents two measurement split-plot models with a restricted randomization to save cost and time. Split-plot models are used to handle HTCM (Hard To Control Measurement) factors such as high temperature and long-time catalyst control. The models developed are represented by the processes for estimating the measurement precisions, that is, gauge R&R. The study also introduces three-step procedures to indentify resolution, improve R&R reduction, and evaluate the precision effect.
참고문헌 (7)
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- 최성운, "지분인자, 블록인자와 되풀이 유형에 따른 실험계획의 랜덤화 순서", 대한안전경영과학회 춘계학술대회 발표문집, pp.177~183 (2009)
- 최성운, "측정 정밀도 추정을 위한 게이지 실험계획 프로세스 개발 및 적용", 대한안전경영과학회 추계학술대회 발표문집, pp.557~563 (2009)
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- Harter, H. L., "On the Analysis of Split-Plot Experiments", Biometrics, 17(1), pp.144~149 (1961)
- Hines W.G.S., "Pragmatics of Pooling in ANOVA Tables", The American Statistician, 50, pp.127~139 (1996)
