경제적인 Gage R&R 계수
Economical Values of Gage R&R Parameters
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초록
Companies strive for quality improvement and use process data obtained through measurement process to monitor and control the process. Measurement data contain variation due to error of operator and instrument. The total variation is sum of product variation and measurement variation. Gage R&R is for repeatability and reproducibility of measurement system. Gage R&R study is usually conducted to analyze the measurement process. In performing the gage R&R study, several parameters such as the appropriate number of operators(o), sample size of parts (p), and replicate (r) are used. In this paper we propose how to determine the optimal combination of number of operators (o), sample size of parts (p),and replicates (r) considering measurement time and cost by statistical method.
Abstract
Companies strive for quality improvement and use process data obtained through measurement process to monitor and control the process. Measurement data contain variation due to error of operator and instrument. The total variation is sum of product variation and measurement variation. Gage R&R is for repeatability and reproducibility of measurement system. Gage R&R study is usually conducted to analyze the measurement process. In performing the gage R&R study, several parameters such as the appropriate number of operators(o), sample size of parts (p), and replicate (r) are used. In this paper we propose how to determine the optimal combination of number of operators (o), sample size of parts (p),and replicates (r) considering measurement time and cost by statistical method.
참고문헌 (17)
- Pan, J. -N., "Evaluating the Gauge Repeatability and Reproducibility for Different Industries", Quality and Quantity, 40(4), pp.499~518 (2006)
- Automotive Industry Action Group (AIAG), "Measurement Systems Analysis,” AIAG Reference Manual 4th edition" (2010), Southfield, MI
- Pan, J. -N., "Determination of the optimal allocation of parameters for gauge repeatability and reproducibility study", The International Journal of Quality and Reliability Management, 21(6), pp.672~682 (2004)
- Montgomery, D. C., "Gauge Capability and Designed Experiments Part 1 : Basic Methods", Quality Engineering, 6(1), pp.115~135 (1993)
- Montgomery, D. C., "Gauge Capability and Designed Experiments Part 2 : Experimental Design Models and Variance Component Estimation", Quality Engineering, 6(2), pp.289~305 (1993)
- Burdick, R. K., "Intervals on Measures of Variability in R&R Studies", Journal of Quality Technology, 29(3), pp.261~273 (1997)
- Borror, C. M., "Confidence intervals for Variance Components from Gauge Capability Studies", Quality and Reliability Engineering International, 13(6), pp.361~369 (1997)
- Barrentine, L. B., "Concepts for R&R Studies" (1991), ASQ Quality Press
- 이승훈, "Minitab 측정시스템 분석", pp.49~50 (2006), 이레테크
- 이승훈, "측정시스템 분석", pp.137~139 (2000), 청문각
- Michael Hamada, "Measurement System Assessment Via Generalized Inference", Journal of Quality Technology, 32(3), pp.241~253 (2000)
- Liyun Gong, "Confidence Intervals for Unbalanced Two-factor Gauge R&R Studies", Quality and Reliability Engineering International, 21(8), pp.727~741 (2005)
- Kristynn, K. Dolezal, "Analysis of a Two-Factor R&R Study with Fixed Operators", Journal of Quality Technology, 30(2), pp.163~170 (1998)
- Andy, K. L., "A Simple General Method for Constructing Confidence Intervals for Functions of Variance Components", Technometrics, 43(3), pp.356~367 (2001)
- Andy, K. L., "Improved Confidence Intervals for a Ratio in an R&R Study", Communications in Statistics-Simulation and Computation, 31(3), pp.329~344 (2002)
- 최성운, "측정 시스템 분석 모형의 고찰 및 새로운 모형의 제안", 대한안전경영과학회지, 10(1), pp.191~195 (2008), 대한안전경영과학회
- Lorraine Daniels, "Confidence Intervals in a Gauge R&R Study with Fixed Operators", Journal of Quality Technology, 37(3), pp.179~185 (2005)