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단일분할법 측정 실험계획을 이용한 정밀측정도 분석

Analysis of Measurement Precisions Using Measurement Experimental Design for Split Plot

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키워드

주제분류산업공학

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)

  1. 최성운, "분할법에서 EMS알고리즘을 이용한 풀링분산검정", 대한안전경영과학회지, 10(3), pp.245~251 (2008), 대한안전경영과학회
  2. 최성운, "지분인자, 블록인자와 되풀이 유형에 따른 실험계획의 랜덤화 순서", 대한안전경영과학회 춘계학술대회 발표문집, pp.177~183 (2009)
  3. 최성운, "측정 정밀도 추정을 위한 게이지 실험계획 프로세스 개발 및 적용", 대한안전경영과학회 추계학술대회 발표문집, pp.557~563 (2009)
  4. Box G. E. P., "Statistics for Experiments:An Introduction to Design, Data Analysis, and Model Building" (1978), Wiley
  5. Bzirich H., "Power of Analysis of Variance Test Procedures for Certain Incompletely Specified Models, I", The Annals of Mathematical Statistics, 27(4), pp.1017~1043 (1956)
  6. Harter, H. L., "On the Analysis of Split-Plot Experiments", Biometrics, 17(1), pp.144~149 (1961)
  7. Hines W.G.S., "Pragmatics of Pooling in ANOVA Tables", The American Statistician, 50, pp.127~139 (1996)

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