혼합물 실험에서의 EVOP법
EVOP in Experiments with Mixtures
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초록
Evolutionary operation (EVOP) proposed by Box(1957) is a method for continuous monitoring and improvement of a full-scale manufacturing process with the objective of moving the current operating conditions toward the better ones. EVOP in experiments with mixtures consists of screening vital few components and making small changes in the current operating condition by making small increments in the proportion of the screened component. In this paper, how to determine operating conditions in EVOP in experiments with mixtures around the current operating condition is proposed. The proposed methods are illustrated with the simulated data based on the well known flare experimental data described by McLean and Anderson(1966).
Abstract
Evolutionary operation (EVOP) proposed by Box(1957) is a method for continuous monitoring and improvement of a full-scale manufacturing process with the objective of moving the current operating conditions toward the better ones. EVOP in experiments with mixtures consists of screening vital few components and making small changes in the current operating condition by making small increments in the proportion of the screened component. In this paper, how to determine operating conditions in EVOP in experiments with mixtures around the current operating condition is proposed. The proposed methods are illustrated with the simulated data based on the well known flare experimental data described by McLean and Anderson(1966).
참고문헌 (5)
- Box, G.E,P., "Evolutionary operations: a method for increasing industrial productivity", Applied Statistics, 6, pp.81~101 (1957)
- Cornell, J., "Experiments with Mixtures, 3rd ed" (2002), Wiley
- 임용빈, "Number of Cycles in Evolutionary Operation", Journal of the Korean Statistical Society, 36(3), pp.201~208 (2007), 한국통계학회
- Mclean, R.A., "Extreme vertices design of mixture experiments", Technometrics, 8, pp.447~454 (1966)
- Myers, R.H., "Response Surface Methodology, 3rd ed" (2009), Wiley
