• 수산경영론집
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• 제48권2호
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• pp.1-17
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• 2017

This work studies the variability of flatfish sales revenue. The theoretical analysis draws functions for equilibrium price and quantity using expectation hypotheses. The functions include unpredictable phenomenon with dummy variable and GARCH. The equilibrium function, using adaptive expectation hypothesis, contains the independent variables of supply and demand, while the equilibrium function, embodying rational expectation hypothesis, includes only the independent variables of supply side, because the demand side disappears by the information extraction process theoretically, if economic subjects build the expectation rational. The empirical analysis shows: the variability of flatfish production has a spillover effect on the variability of revenue with the adaptive expectation hypothesis. In the case when the model has a rational expectation hypothesis, the variability of flatfish production has a spillover effect on the revenue (the mean equation of GARCH model). This study indicates that there is the variability in flatfish production and sales revenue, and the spillover effect between them. The result can help to build of the rational system for the fishery income stability.

• ETRI Journal
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• 제41권3호
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• pp.383-395
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• 2019

Clock Controlled Dual keeper Domino logic structures (CCDD_1 and CCDD_2) for achieving a high-speed performance with low power consumption and a good noise margin are proposed in this paper. The keeper control circuit comprises an additional PMOS keeper transistor controlled by the clock and foot node voltage. This control mechanism offers abrupt conditional control of the keeper circuit and reduces the contention current, leading to high-speed performance. The keeper transistor arrangement also reduces the loop gain associated with the feedback circuitry. Hence, the circuits offer less delay variability. The design and simulation of various wide fan-in designs using 180 nm CMOS technology validates the proposed CCDD_1 and CCDD_2 designs, offering an increased speed performance of 7.2% and 8.5%, respectively, over a conventional domino logic structure. The noise gain margin analysis proves good robustness of the CCDD structures when compared with a conventional domino logic circuit configuration. A Monte Carlo simulation for 2,000 runs under statistical process variations demonstrates that the proposed CCDD circuits offer a significantly reduced delay variability factor.

• 한국경영과학회지
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• 제12권1호
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• pp.111-111
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• 1987

With the increasing interest of reducing process variation, statistical process control has served the pivotal tool in most industrial quality programs. In this study, system analyses have been performed associated with a cost incorporated version of a process control, a quadratic loss-based X over bar control chart model. Specifically, two issues, the capital/research investments for improvement of a system and the precision of a parameter estimation, have been addressed and discussed. Through the analysis of experimental results, we show that process variability is seen to be one of the most important sources of loss and quality improvement efforts should be directed to reduce this variability. We further derive the results that, even if the optimal designs may be sensitive, the model appears to be robust with regard to misspecification of parameters. The approach and discussion taken in this study provide a meaningful guide for proper process control. We conclude this study with providing general comments.

• 경영과학
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• 제12권1호
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• pp.111-124
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• 1995

With the increasing interest of reducing process variation, statistical process control has served the pivotal tool in most industrial quality programs. In this study, system analyses have been performed associated with a cost incorporated version of a process control, a quadratic loss-based X over bar control chart model. Specifically, two issues, the capital/research investments for improvement of a system and the precision of a parameter estimation, have been addressed and discussed. Through the analysis of experimental results, we show that process variability is seen to be one of the most important sources of loss and quality improvement efforts should be directed to reduce this variability. We further derive the results that, even if the optimal designs may be sensitive, the model appears to be robust with regard to misspecification of parameters. The approach and discussion taken in this study provide a meaningful guide for proper process control. We conclude this study with providing general comments.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2004년도 추계학술대회 및 정기총회
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• pp.39-44
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• 2004

A desirability function approach to a multiresponse problem is proposed considering process parameter fluctuation as well as distance-to-target of response and response variance. The variation of process parameters amplifies the variance of responses. It is called POE (propagation of error), which is defined as the standard deviation of the transmitted variability in the response as a function of process parameters. In order to obtain more robust process parameters, this variability should be considered in the optimization problem. The proposed method is illustrated using a rubber product case.

• 한국정보과학회논문지:소프트웨어및응용
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• 제33권6호
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• pp.550-563
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• 2006

소프트웨어 재사용에 대한 활동들을 미리 계획하고 개발 프로세스의 연속적인 부분으로 이루어지도록 지원하는 방법이 소프트웨어 프로덕트 라인 공학이다. 이 방법에서 가장 중요한 것은 관련된 시스템들, 즉 도메인에서 공통성과 가변성(commonality and Variability: C&V)을 분석하는 일이다. 재사용 가능 항목들은 분석된 C&V를 명시적으로 나타냄으로써 프로덕트 라인의 핵심자산이 된다. 이러한 핵심 자산들은 소프트웨어 개발의 각기 다른 단계에서 생산되기 때문에 표현요소들의 추상화 수준이 다르며 이로 인해 각 핵심 자산이 가지고 있는 가변성 또한 각기 다른 수준에서 각기 다른 유형으로 나타나게 된다. 핵심자산의 C&V 분석에 대한 기존 연구들에서는 핵심자산의 구분 없이 일관되게 가변성을 분석하였으며, 공통성과 가변성 식별을 단지 개발자의 직관이나 도메인 전문가의 경험에 의존하고 있었다. 본 논문에서는 소프트웨어 프로덕트 라인에서 핵심자산의 가변성을 분석하기 위하여 수직적 측면과 수평적 측면으로 나누어 접근해가는 2차원적 분석방법을 제안한다. 수평적 접근 방법은 개발 프로세스의 각기 다른 단계에서 산출되는 요구사항, 아키텍처, 컴포넌트의 수준에서 가변성의 유형을 분석하는 것이고, 수직적 접근 방법은 가변성의 상세화 정도에 따라 공통성을 식별하는 수준과 가변점을 상세화하는 수준으로 나누어 분석하는 것이다. 이러한 2차원적 가변성 분석접근 방법은 핵심자산들의 가변성이 서로 연관관계를 가질 수 있도록 해주며, 핵심자산의 재사용 활동이 끊어짐 없이 이루어지도록 한다

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2000년도 추계학술대회 논문집
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• pp.136-140
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• 2000

It is desirable to predict springback quantitatively and accurately for the tool and process design in sheet stamping operations, however, it is blown very difficult. The result of springback analysis by the finite element method is sensitively influenced by numerical factors such as blank element size, number of integration point, punch velocity, contact algorithm etc. In the present work, a parametric study by Taguchi method is performed in order to evaluate the influence of numerical factors on springback Quantitatively and to obtain the combination of numerical factors which yields the best approximation to experimental data. Since springback is determined by the residual stress after forming process, it is important to evaluate stress distribution accurately. The oscillation in the time history curve of stress obtained by explicit FEM says that the stress solution at termination time is in very unstable state. Therefore, a variability study is also carried out in this study in order to assess the stability of implicit springback analysis starting from the stress solution by explicit forming simulation. The 2D draw bending process, one of the NUMISHEET '93 benchmark problems, is adopted as an application model.

• 한국정보과학회논문지:소프트웨어및응용
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• 제32권3호
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• pp.163-172
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• 2005

프로덕트라인 공학은 여러 어플리케이션들이 공유할 수 있는 핵심자산을 사용하는 대표적인 소프트웨어 재사용 방법으로 넓게 수용되고 있다. 프로덕트라인 공학의 핵심자산의 중요한 구성요소로 프로덕트라인 아키텍쳐(Product Line Architecture, PLA)가 있다. 그러나 PLA에 대한 대부분의 연구는 재사용 자산으로서 공통성 및 가변성(C&V)에 대한 표현 및 설계에 대한 상세한 지침이 미비하다. 본 논문에서는 PLA 의 선계 프로세스와 상세 수준의 지침을 제안한다. 특히 PLA 가변성의 체계적인 정의를 위해 가변점의 종류에 대한 PLA 의사결정 모델(Decision Model)을 제시한다. 제안된 프로세스와 PLA가변성 정의로 프로덕트라인 공학의 효율적인 실무적 접근을 예상할 수 있다.

• International Journal of Quality Innovation
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• 제4권1호
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• pp.148-159
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• 2003

Variation is the archenemy of quality. To reduce or control the variation in a complex production unit, firstly we need to identify the location of the root cause of the variation. This paper discusses the detection of variability and the techniques used for reduction of variation for a production unit consisting of many processes. In the first part of this paper, the background of variability detection in production systems is introduced which is then followed by a weighted network corresponding to correlation matrix of all processes. Based on the network and clustering criterion of maximum spanning tree, a classification of all processes is derived. Furthermore, the variation of each process in a class is determined by residual analysis. In the last part, the use of methods of robust design for the processes with a larger variability is discussed.

• 대한기계학회논문집
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• 제16권9호
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• pp.1691-1699
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• 1992

The experimental results of fatigue crack propagation under constant amplitude loading show that intra-and inter-specimen variability exist. In this paper, a stochastic model for the estimation of mean and variance of crack propagation life is presented To take into account the intra-specimen variability, the material resistance against crack propagation is treated as an 1-dimensional spatial stochastic process, i. e. random field, varying along the propagation path. For the inter-specimen variability, C in paris equation is assumed to be a random variable. Compared with experimental results reported, the present method well estimate the variation in fatigue crack propagation life. And it is confirmed that the thicker the specimen thickness is, the less the variation of propagation life is.