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가상확률밀도함수를 사용하여 Max(N, T, D) 운용방침이 적용되는 조정가능한 M/G/1 대기모형의 busy period의 기대값 유도
이한교ㆍ오현승 한국산업경영시스템학회 2008 한국산업경영시스템학회지 Vol.31 No.4
The expected busy period for the controllable M/G/1 queueing model operating under the triadic Max (N, T, D) policy is derived by using a new concept so called “the pseudo probability density function.” In order to justify the proposed approaches for the
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오현승,김종수,이한교,임동순,조진형 한국산업경영시스템학회 2009 한국산업경영시스템학회지 Vol.32 No.4
In a technological driven environment, a depreciation estimate which is based on traditional life analysis results in a decelerated rate of capital recovery. This time pattern of technological growths models needs to be incorporated into life analysis framework especially in those industries experiencing fast technological changes. The approximation technique for calculating the variance can be applied to the six growth models that were selected by the degree of skewness and the transformation of the functions. For the Pearl growth model, the Gompertz growth model, and the Weibull growth model, the errors have zero mean and a constant variance over time. However, transformed models like the linearized Fisher-Pry model, the linearized Gompertz growth model, and the linearized Weibull growth model have increasing variance from zero to that point at which inflection occurs. It can be recommended that if the variance of error over time is increasing, then a transformation of observed data is appropriate.
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조정가능한 M/G/1 대기모형에 Min(N, D)와 Max(N, D) 운용방침이 적용될 때 busy period 기대값의 상한과 하한 유도
이한교,오현승 한국산업경영시스템학회 2009 한국산업경영시스템학회지 Vol.32 No.3
Using the results of the expected busy periods for the dyadic Min(N, D) and Max(N, D) operating policies in a controllable M/G/1 queueing model, an important relation between them is derived. The derived relation represents the complementary property between two operating policies. This implies that it could be possible to obtained desired system characteristics for one of the two operating policies from the corresponding known system characteristics for the other policy. Then, upper and lower bounds of expected busy periods for both dyadic operating policies are also derived.
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오현승,김종수,이한교,조진형 한국산업경영시스템학회 2009 한국산업경영시스템학회지 Vol.32 No.1
Estimation of mortality behavior of a industrial property are useful for calculating depreciation and making management decisions relating to property. The common methods of computing depreciation require an estimation of service life, and some methods may require an estimate of life expectancy. Estimation of service life and life expectancy can be computed from a smoothed and extended life table of original life tables developed through life analysis techniques. Several actuarial techniques are available to construct a life table for depreciation application. Of these methods, the graphic approach and graduation by mathematical formula are the most widely used in the field of depreciation. A commonly used technique of smoothing and of extending the life table is to fit a Iowa type survivor curves to the observed retirement rate by the least square method. In this paper, estimates of depreciation rate based on directly observed data of the domestic petrochemical equipments are presented.
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삼변수운용방침이 적용되는 M/G/1 대기모형에서 가상확률밀도함수를 이용한 busy period의 기대값 유도
이한교,오현승 한국산업경영시스템학회 2007 한국산업경영시스템학회지 Vol.30 No.2
The expected busy period for the controllable M/G/1 queueing model operating under the triadic policy is derived by using the pseudo probability density function which is totally different from the actual probability density function. In order to justify the approach using the pseudo probability density function to derive the expected busy period for the triadic policy, well-known expected busy periods for the dyadic policies are derived from the obtained result as special cases.
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가장 일반화된 형태의 삼변수 운용방침 개발과 그에 따른 Busy Period 기댓값 유도
이한교,오현승 한국산업경영시스템학회 2009 한국산업경영시스템학회지 Vol.32 No.4
The most generalized form of the triadic operation policy for an M/G/1 queueing model is developed It consists of three simple N, T and D operating policies and has a peculiar structure possessing concepts of dyadic policies Using the concept of the pseud
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A Study on the Computed Mortality Method in Life Analysis
오현승,이한교,조진형,Oh, Hyun-Seung,Rhee, Hahn-Kyou,Cho, Jin-Hyung Society of Korea Industrial and System Engineering 2009 한국산업경영시스템학회지 Vol.32 No.2
공공사업이나 자동화 생산시스템 등에 있어서 설비 자산이 차지하는 비중은 매우 크며 이러한 설비들의 경제적 설비 대체 분석을 위하여 설비에 대한 수명분석이 이루어져야 한다. 본 논문에서는 설비들의 폐기 자료가 불충분한 경우의 수명분석에서 Iowa형 생존곡선을 기초로 한 CM 방법을 제시하였다. 기존의 SPR 방법이 평균 수명만을 추정하는데 비하여 제시된 CM 방법은 설비의 수명분포를 추정함으로써 평균 수명뿐만 아니라 폐기 자료의 폐기곡선과 폐기율을 추정할 수 있어 설비 교체 분석 시 유용하게 사용될 수 있다.
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가상확률밀도함수를 사용하여 Max(N, T, D) 운5방침이 적용되는 조정가능한 M/G/1 대기모형의 busy period의 기대값 유도
이한교,오현승,Rhee, Hahn-Kyou,Oh, Hyun-Seung 한국산업경영시스템학회 2008 한국산업경영시스템학회지 Vol.31 No.4
The expected busy period for the controllable M/G/1 queueing model operating under the triadic Max (N, T, D) policy is derived by using a new concept so called "the pseudo probability density function." In order to justify the proposed approaches for the triadic policy, well-known expected busy periods for the dyadic policies are recovered from the obtained result as special cases.
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가장 일반화된 형태의 삼변수 운용방침 개발과그에 따른 Busy Period 기대값 유도
이한교,오현승 한국산업경영시스템학회 2009 한국산업경영시스템학회지 Vol.32 No.4
The most generalized form of the triadic operating policy for an M/G/1 queueing model is developed. It consists of three simple N, T and D operating policies and has a peculiar structure possessing concepts of dyadic policies. Using the concept of the pseudo probability density function of the busy period, its expected busy period for the controllable M/G/1 queueing model is derived. Since the obtained result is the most generalized form the triadic polity, the expected busy periods for all known dyadic policies are recovered as special cases from it.
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가상확률밀도함수를 사용하여 Max(N, T, D) 운용방침이 적용되는 조정가능한 M/G/1 대기모형의 busy period의 기대값 유도
이한교,오현승 한국산업경영시스템학회 2008 한국산업경영시스템학회지 Vol.31 No.4
The expected busy period for the controllable M/G/1 queueing model operating under the triadic Max (N, T, D) policy is derived by using a new concept so called “the pseudo probability density function.” In order to justify the proposed approaches for the triadic policy, well-known expected busy periods for the dyadic policies are recovered from the obtained result as special cases.
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