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안선응(Sun-Eung Ahn),김우현(Woo-Hyun Kim) 한국산업경영시스템학회 2005 한국산업경영시스템학회지 Vol.28 No.4
Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.
안선응(Sun-Eung Ahn),구정모(Jung-Mo Koo) 한국산업경영시스템학회 2004 한국산업경영시스템학회지 Vol.27 No.2
This paper is intended to assess a dynamic system reliability. Bayesian networks, however, have difficulties in their application for assessing the system reliability especially when the system consists of dependent components and the probability of failure of each component varies over time. Hence, we suggest a method for resolving the difficulties by considering a hoist system composed of two wires. Firstly, we explain the method of calculating the failure probability of the system components. Secondly, we show how to calculate the failure probability of the system for two cases that failure probability of each wire is constant and varying in time, respectively. Finally, based on the calculated failure probability of the system, we infer the probability that two interesting events occur.
안선응(Sun-Eung Ahn),김우현(Woo-Hyun Kim) 한국산업경영시스템학회 2005 한국산업경영시스템학회지 Vol.28 No.2
Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.
학술 7 특별구두세션 : PC. 포스터세션3 ; 중소/중견기업 명품육성전략체계 연구
신완선 ( Wan Seon Shin ),안선응 ( Sun Eung Ahn ),전종선 ( Jong Seon Jeon ),이주현 ( Ju Hyun Lee ),박상호 ( Sang Ho Park ),김영빈 ( Yeong Been Kim ) 한국품질경영학회 2014 한국품질경영학회 학술대회 Vol.2014 No.2
1. 목적 · 명풍 개발에 도전하는 중소/중견 기업에 동기부여를 하고, 명품전략체계를 개발. 2. 연구설계/ 방법론/ 접근방법 · WC300과 MQI를 기반으로 설문 체크리스트 개발. · MQI와 WC300 평가항목 간의 연관성 분석. · IPA 분석을 통해 파악된 WC300의 중점개선영역으로 연계된 MQI 지표 도출. · 명품화 핵심요인과 한계요인을 이용한 QFD로 적합성 및 순위 분석. · MQI와 GQM 4.0의 연관성 분석과 개선사항 도출로 전략수립기반 확보. 3. 연구결과 · 중소/중견기업의 세 가지 업종(기계, 화학, 건설)의 각 업무 상황에 맞는 세부전략 도출. 4. 실무적 시사점 · 현재 국내의 중소/중견기업의 명품 개발에 있어서의 한계 상황을 파악. · 미래 소비자 요구를 감안한 명품육성 전략을 수립하고 실행계획을 추진할 수 있도록 지원함으로써 명품 개발에 있어서의 한계 상황에 대한 극복 방안을 제시함에 관힌 전략적 방향 제안. 5. 독창성/ 가치 · 글로벌 경쟁력에 대한 객관적 정보를 제공하여 이들 기업이 보다 객관화된 의사결정에 근거하여 명품전략을 추진하도록 지원. · 명품전략체계를 활용하여 중소/중견기업이 명품화 활동을 주도적으로 추진. 글로벌 경쟁이 가속화되는 상황에서 국내 증소/중견기업의 임원과 품질담당자에게 글로벌 경쟁력 확보에 필요한 전략적 로드맵과 전략수립 방안을 공유.
박창순(Chang-Soon Park),안선응(Sun-Eung Ahn) 한국SCM학회 2011 한국SCM학회지 Vol.11 No.2
In the process of investment negotiation, the investor and the enterprise have different opinions causing conflicts. Therefore, we need an objective standard to mitigate the conflicts between the investor and the enterprise, and need to make constant improvement to achieve a rational investment. Therefore, this paper presents an investment negotiation model which enables investment allocation regarding the core competences among companies. The presented model can mitigate the structure of conflicts between the investor and the enterprise considering idiosyncratic investment that is caused when the core competences is converted into power, and could be used in forming sustainable optimal alternatives in the process of dynamically changing negotiation.
박창순(Chang-Soon Park),안선응(Sun-Eung Ahn) 한국SCM학회 2012 한국SCM학회지 Vol.12 No.1
Operational risk is defined as a risk causing loss to investors resulting from inadequate processes, human resources, system, or external events. However, most operational risks happen in many cases combined with market risks or credit risks, and for the cases which rarely happen but cause a big loss, it is hard to develop an evaluation model on the incidence of operational risks due to the lack of data. This paper presents Bayesian probability model as a method of solving problems caused from the lack of data. The hazard rate of the event of loss in investment operation is estimated using exponential distribution on the period of occurring operational risks as a likelihood function and using gamma distribution in natural conjugate with the exponential distribution as a prior distribution on the parameters of the exponential distribution. It suggests a method showing subjective perspectives of experts as the prior distribution using bootstrap method, and presents a method estimating the ratio of risk after deriving an estimation function from the prior distribution and the likelihood function and using estimated Bayesian values of posterior distribution.
축차 샘플링을 기반으로 한 one-shot devices의 신뢰성 입증 시험
전종선(Jong seon Jeon),안선응(Sun eung Ahn) 한국산업경영시스템학회 2016 한국산업경영시스템학회 학술대회 Vol.2016 No.추계
This paper describes the Bayesian approach for reliability demonstration test based on the sequential samples from the one-shot devices. The Bayesian approach involves the technical method about how to combine the prior distribution and the likelihood function to produce the posterior distribution. In this paper, the binomial distribution is adopted as a likelihood function for the one-shot devices. The relationship between the beta-binomial distribution and the Polya’s urn model is explained and is used to make a decision about whether to accept or reject the population of the one-shot devices by one by one then in terms of the faulty goods. A numerical example is also given.