• 품질경영학회지
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• 제35권1호
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• pp.97-112
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• 2007

Six Sigma methodology has been evolved since it was first introduced in late 1980's and the number of company which adopts Six Sigma is getting increased. Therefore, it is timely that ire review research papers on Six Sigma extensively. We review 85 papers published in Korea by April 2006 and classify them based on research contents and methodology. We suggest future research issues and fields which can adopt Six Sigma methodology.

• 응용통계연구
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• 제4권1호
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• pp.1-11
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• 1991

다변량분산분석이나 판별분석 등에 있어서 검정의 대상이 되는 공분산행렬의 동일성에 대한 붓스트랩방법의 활용을 살펴보았다. 두 모집단의 공분산행렬을 $\Sigma_1, \Sigma_2^$라 하면, 가설 H : $\Sigma_1 = \Sigma_2$은 불변성의 관점에서 $\Sigma = \Sigma_1 \Sigma_2^{-1}$의 고유값들이 모두 1 이라는 것과 동등하다. 본 연구에서는 (1) $\Sigma = \Sigma_1 \Sigma_2^{-1}$의 표본고유값들에 대한 편의를 붓스트랩에 의해 정정하였으며, (2) 이들의 표본분포를 붓스트랩분포로 추정하여 검정에 활용하였으며, (3) 합동붓스트랩에 의해 바플렛의 수정우도비 검정통계량의 분포를 근사하였다.

• 대한수학회논문집
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• 제29권3호
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• pp.401-408
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• 2014

If A is a unital Banach algebra, then the spectrum can be viewed as a function ${\sigma}$ : 𝕬 ${\rightarrow}$ 𝕾, mapping each T ${\in}$ 𝕬 to its spectrum ${\sigma}(T)$, where 𝕾 is the set, equipped with the Hausdorff metric, of all compact subsets of $\mathbb{C}$. This paper is concerned with the continuity of the spectrum ${\sigma}$ via Browder's theorem. It is shown that ${\sigma}$ is continuous when ${\sigma}$ is restricted to the set of essentially hyponormal operators for which Browder's theorem holds, that is, the Weyl spectrum and the Browder spectrum coincide.

• 대한산업공학회지
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• 제32권4호
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• pp.358-368
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• 2006

The significance of intellectual property in the knowledge-based society has been increasing and as a result, the patent customer's demand for a top quality patent administration service has increased as well. Therefore, Korean Intellectual Property Office(KIPO) adopted 6 sigma as a tool for KIPO's innovation to improve the quality of patent administration and enhance customer satisfaction. KIPO's steadfast promotion of 6 sigma resulted in many successful outcomes such as improvement of policy and service process from customer's point view, streamlining the administrative procedures, increased work efficiency, capability enhancement of core personnel, and so on. Since 6 sigma has proved itself to be equipped with features suitable for innovation in public sector, it can be used as an extensible innovation tool to meet the challenges in rapidly changing administration environment and to achieve a competitive edge.

• 응용통계연구
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• 제18권3호
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• pp.689-699
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• 2005

우리는 모분산 ${\sigma}^2$에 대한 추정량으로서 표본분산 $S^2=\frac{{\Sigma}^n_{i=1}(X_i-\={X})^2}{n-1}$을 주로 사용한다. 그러나, 제 7차 교육과정에 따른 고등학교 수학 교과서(10-가, 수학 I과 실용수학)에서는 표본분산의 정의를 $S^2_n=\frac{{\Sigma}^n_{i=1}(X_i-\={X})^2}{n}$로 사용하고 있다. 이 두 표본분산들의 관계를 알아보고, 시뮬레이션을 통하여 확인하여 본다. 또한, 이 두 표본분산들을 포함하여 일반적으로 정의할 수 있는 표본분산을 제안한다.

• 대한수학회논문집
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• 제10권1호
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• pp.93-107
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• 1995

In their paper [2,3], Cameron and Storvick introduced some classes $S"+m$ and of functionals on classical Wiener spaces $C_0[a,b]$. For such functionals, they showed that the analytic Feynman integral exists and they gave some formulas for this integral. Moreover they obtained that the functionals of the form $$ (1.1) F(x) = exp {\int^b_a{\theta(s,x(x))dx} $$ are in S" where they assumbed that the potential $\delta : [a,b] \times R \to C$ satisfies (i) for each $s \in [a,b], \theta(s,\cdot)$ is the Fourier-Stieltjes transform of $\sigma_s \in M(R)$, (ii) for each Borel subset E of $[a,b] \times R, \sigma_s (E^{(s)})$ is a Borel measurable function of s on [a,b], and (iii) the total variation $\Vert \sigma_s \Vert$ of $\sigma_s$ is bounded as a function of s.tion of s.

• Korean Journal of Mathematics
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• 제10권1호
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• pp.11-17
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• 2002

In this paper we give several necessary and sufficient conditions for an operator on the Hilbert space to obey Browder's theorem. And it is shown that if S has totally finite ascent and $T{\prec}S$ then $f(T)$ obeys Browder's theorem for every $f{\in}H({\sigma}(T))$, where $H({\sigma}(T))$ denotes the set of all analytic functions on an open neighborhood of ${\sigma}(T)$.

• 응용통계연구
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• 제29권2호
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• pp.369-379
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• 2016

시그마 수준(sigma level)이란 미국 모토롤라사에 의해 소개된 프로세스 능력 지수로서 1970년대 이후 널리 활용되고 있는 다양한 지수들 중의 하나이다. 이는 다른 지수들과 비교할 때 모 프로세스의 확률 분포에 기초한다는 장점을 갖지만 양산 단계를 가정한 것으로 R&D 분야의 시제품 그리고/또는 초도 양산품 단계에 직접 적용하는 것은 적절하지 못할 수 있다. 이에 본 논문은 시그마 수준을 계산할 때 가정하는 치우침에 대한 통계적 고찰을 통하여 양산단계에서 6 시그마 품질 수준을 달성하기 위한 개발 단계의 시제품 그리고/또는 초도 양산품의 목표 시그마 수준 설정 방법을 소개한다. 그리고 이를 기초로 개발과 양산 단계에서 경제성을 달성할 수 있는 설계 공차의 강건 한계 도출 방법을 제시해 보고자 한다.

• Bulletin of the Korean Chemical Society
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• 제31권4호
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• pp.959-964
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• 2010

In this work, equilibrium molecular dynamics (MD) simulations in a microcanonical ensemble are performed to evaluate the friction coefficient of a Brownian particle (BP) in a Lennard-Jones (LJ) solvent. The friction coefficients are determined from the time dependent friction coefficients and the momentum autocorrelation functions of the BP with its infinite mass at various ratios of LJ size parameters of the BP and solvent, ${\sigma}_B/{\sigma}_s$. The determination of the friction coefficients from the decay rates of the momentum autocorrelation functions and from the slopes of the time dependent friction coefficients is difficult due to the fast decay rates of the correlation functions in the momentum-conserved MD simulation and due to the scaling of the slope as 1/N (N: the number of the solvent particle), respectively. On the other hand, the friction coefficient can be determined correctly from the time dependent friction coefficient by measuring the extrapolation of its long time decay to t=0 and also from the decay rate of the momentum autocorrelation function, which is obtained by time integration of the time dependent friction coefficient. It is found that while the friction coefficient increases quadratically with the ratio of ${\sigma}_B/{\sigma}_s$ for all ${\sigma}_B$, for a given ${\sigma}_s$ the friction coefficient increases linearly with ${\sigma}_B$.

• Communications for Statistical Applications and Methods
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• 제10권2호
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• pp.603-606
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• 2003

The maximum likelihood estimators of the eigenvalues and eigenvectors of $$\Sigma$$_1$^{-1}$$\Sigma$$_2$are shown to be the eigenvalues and eigenvectors of $S$_1$^{1}$S$_2$ under multivariate normality and are explicitly derived. The nature of the eigenvalues and eigenvectors of $$\Sigma$$_1$^{-1}$$\Sigma$$_2$ or their estimators will be uncovered.