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M&S기법을 활용한 장보고Ⅱ급 잠수함 수명주기비용 추정
안재경(Jaekyoung Ahn),최봉완(Bongwan Choi),이용규(Yongkyu Lee) 대한산업공학회 2010 산업공학 Vol.23 No.3
With the development of science and technology, modern submarines are equipped with high technology devices and multi-functioned precise armaments, consequently, acquisition cost as well as maintenance cost of the submarines are getting higher and higher. However, tight defense budget forces navy to significantly reduce military operating and maintenance costs. In this study, the maintenance and operating costs of submarine Jangbogo-Ⅱ are estimated through M&S (Modeling and simulation) methodologies in order to reasonably and consistently work out the requirement verification system of Jangbogo-Ⅱ. The maintenance and operating costs of Jangbogo-II along the next 25 years are estimated as 312.65 billion won via engineering analysis methods while 312.69 billion won from PRICE Model, which shows only 0.04 billion won differences as a whole. This study is expected to be able to provide meaningful decision making data for not only short and/or mid term operating planning but military budgeting.
안재경(Jaekyoung Ahn),안도섭(Doseob Ahn),구본준(Bonjun Koo) 한국통신학회 2010 한국통신학회 학술대회논문집 Vol.2010 No.6
현재 미국, 일본, 중국 등 위성선진국을 중심으로 위성개발 경쟁을 통한 우주영토 확대가 시도되고 있으며, 특히 위선 궤도 및 주파수는 경제적인 가치가 매우 높아 선전경쟁이 치열한 실정에 있다. 우리나라에서도 위성관련 연구개발을 시작한 이래 최초로 우주인증 통신탑재체의 국산화를 추진하고 있는 통신해양기상위성의 발사가 곧 예정되어 있다. 본 고에서는 세계적인 기술 및 서비스 조류에 따라 S 대역 중계가 등을 탑재한 차세대 위성개발의 경제성 효과를 분석하고자 한다. 이를 위해서 차세대위성으로 제공 가능한 서비스를 고찰하고 특히 민간에서 제공 가능한 서비스에 대한 경제성을 분석하여 위성개발의 타당성을 객관적으로 평가한다. 분석결과 민간과 정부가 공동개발하여 활용하는 것이 경제적으로 적절하다는 결론을 도출하였다.
동시 사용자수를 고려한 패키지 소프트웨어 구매에 관한 경제성 분석
윤호중(HoJung Yoon),안재경(Jaekyoung Ahn) 한국IT서비스학회 2011 한국IT서비스학회지 Vol.10 No.4
When your company buys packaged software, the company needs to determine how many software licenses must be purchased. If the quantity is too small, it will be not enough for the users to access the programs at anytime within the company. Conversely, if the quantity is too large, they will waste a lot of money. In this paper, we surveyed several number of researchers of K institute and derived the using pattern of a specific packaged software. We estimated a proper number of packaged software licenses by Erlang Loss Function, the Engset Model, and simulation model. With the results of the three methodologies, we were able to empirically verify economic benefits of packaged software purchase by comparing NPV (Net Present Value) between user licenses and network licenses. Consequently, TCO of user licenses is much higher than that of network licenses. We had probabilistically calculated proper number of licenses based on the using pattern of users. Hence, this paper will be useful for decision makers who are going to determine package software's type and quantity from an economic perspective.
김성민(Sung-Min Kim),안재경(Jaekyoung Ahn) 한국산업경영시스템학회 2021 한국산업경영시스템학회지 Vol.44 No.2
Smart factories can be defined as intelligent factories that produce products through IoT-based data. In order to build and operate a smart factory, various new technologies such as CPS, IoT, Big Data, and AI are to be introduced and utilized, while the implementation of a MES system that accurately and quickly collects equipment data and production performance is as important as those new technologies. First of all, it is very essential to build a smart factory appropriate to the current status of the company.In this study, what are the essential prerequisite factors for successfully implementing a smart factory was investigated. A case study has been carried out to illustrate the effect of implementing ERP and MES, and to examine the extensibilities into a smart factory. ERP and MES as an integrated manufacturing information system do not imply a smart factory, however, it has been confirmed that ERP and MES are necessary conditions among many factors for developing into a smart factory. Therefore, the stepwise implementation of intelligent MES through the expansion of MES function was suggested. An intelligent MES that is capable of making various decisions has been investigated as a prototyping system by applying data mining techniques and big data analysis. In the end, in order for small and medium enterprises to implement a low-cost, high-efficiency smart factory, the level and goal of the smart factory must be clearly defined, and the transition to ERP and MES-based intelligent factories could be a potential alternative.
박현기(Hyunki Park),안재경(Jaekyoung Ahn) 한국정보기술학회 2014 한국정보기술학회논문지 Vol.12 No.3
In this paper, the ATM demand forecasting module in the K bank has been implemented linking JAVA and R programs. Commercial statistical software has an easy-to-use advantage, however, costs too much, and lacks freedom to analyse user-specific statistics. Furthermore, it is very restricted for the existing statistical software to be linked to the enterprise database. This study proposes a implementation scheme to program the ARIMA statistical model programmed in R, and to be linked to enterprise database with a JAVA-based interface. In this study, unit root test, model identification, model estimation, and model diagnostic checking are automatically to be done by the JAVA program module which is capable of dealing with the enterprise database. This study shows that the proposed module practically be linked to JAVA based enterprise system in forecasting the ATM demand in the K bank.
박현기(Hyunki Park),안재경(Jaekyoung Ahn) 한국정보기술학회 2014 한국정보기술학회논문지 Vol.12 No.10
In this paper, an ARIMA based demand forecasting program has been implemented by utilizing public data on G2B e-commerce at public procurement service. Recently, there has been growing interest in research and use of public data. However, it is found that few studies proposed systematic procedures for collecting, processing, and analysing the public data. There also have been limitations on grasping the attributes of the public data, extracting them for researchers’ purpose and applying the right methodologies. This study presents a series of procedures for redefining and extracting the public data, and attempts to forecast the market sizes in each segment using the ARIMA model. This paper also sheds light on utilizing the public data in the area of demand forecasting by programming the whole processes where unit root test, model identification, model estimation, and model diagnostic checking are automatically to be done. As a result of the analysis, MAPE values fall into 3.90%~24.47%, which shows that the ARIMA model implemented in this paper is working well.
박현기(Hyunki Park),안재경(Jaekyoung Ahn) 한국정보기술학회 2016 한국정보기술학회논문지 Vol.14 No.4
While there have been growing interests on the collection, processing, and analyses of data through open source-based softwares, few studies that provide systems implementation have been published yet. This study aims to implement the e-government standard framework based system that utilizes the previously studied ARIMA demand forecasting module programmed in R, linked to the public e-procurement service database with a JAVA-based interface. Whole processes have been implemented using open source softwares along with the guidelines on user interface design for the reduced development cost and the more suitable demand forecasting application. This study is expected to be of great help for not only public sector but private ones to implement the e-government standard framework based system without any difficulty.