• 한국시뮬레이션학회:학술대회논문집
• /
• 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
• /
• pp.44-49
• /
• 2001

This paper is concerned with development of a multi-attribute structured decision model. In this study, we used AHP(analytic hierarchy process) and fuzzy set ranking methodology to overcome the multi-attributes structured decision problems ; such as multi-objective, multi-criterion, and multi-attributes. We proposed a 2-step approach : 1) individual evaluation and 2) integration of individual evaluations. In the first step, we define the performance factors and construct ana]isis structure, and in the second step performance evaluation by individual evaluators, and in second step, the results of individual evaluations are integrate. Also we developed a systematic and practical computer program to solve the problems according to the proposed methods. The proposed approach was known to be effective through a set of sample problems.

• 지능정보연구
• /
• 제10권1호
• /
• pp.13-25
• /
• 2004

온라인 쇼핑환경에서 소비자들은 최적공급자선정에 많은 어려움을 겪고 있다. 비교쇼핑 및 공급자평가사이트들은 이를 부분적으로 지원하고 있으나, 동적인 소비자의 구매 및 공급자의 공급조건을 종합적으로 고려하지 않기 때문에 최적공급자 선정에 한계가 있으며, 소비자의 시간 소모적인 노력이 많이 든다. 본 연구는 다양하고 동적인 소비자의 구매조건, 공급자의 공급조건, 공급자평가정보 등을 종합적으로 고려하여 최적공급자를 선정하는 모형으로서, 최적공급자선정요인을 분류하고 이차계획법의 최적공급자선정모형을 개발하였으며, 민감도분석을 통해 최적공급자 대안을 제시하는 의사결정지원모형을 제안하였다. 최적공급자선정요인은 구매필수조건을 만족하는 후보공급자선별을 위한 필터링요인과 선별된 후보공급자로부터 구매선호조건별 공급자대안을 선정하기 위한 민감도분석요인으로 분류하여 단계적으로 문제를 풀어 해를 제시한다. 한편, 프로토타입을 통하여 소비자들이 여러 구매대안별로 효과적으로 최적공급자를 선정할 수 있는 구매의사결정지원 환경이 될 수 있음을 보였다.

• 한국도로학회논문집
• /
• 제8권3호
• /
• pp.1-19
• /
• 2006

본 연구는 지형공간정보체계 기반에서 리스크 요인의 변동을 고려한 의사결정을 적용하여 정량적 평가를 수행할 수 있는 기법을 연구한 결과, 다음과 같은 결론을 얻을 수 있었다. 첫째, 리스크 요인의 변동을 고려한 의사결정을 통하여, 기존의 노선에 대한 평가를 정량적인 값으로 산출 할 수 있었으며, 이를 신설될 노선에 대하여 적용하면 도로 계획 및 기본 설계시에 객관적이고 신뢰성 있는 설계를 할 수 있을 것으로 판단된다. 둘째, 리스크 요인의 변동을 고려한 평면선형과 종단선형을 지형공간정보체계 기반에서 쉽게 추출할 수 있었으며, 도로의 계획에서 의사결정에 의한 신속한 3차원 선형 계획 및 분석이 가능하다. 셋째, 본 연구에서 구축된 정량적 평가 시스템을 이용하면 노선선정이 자동화됨으로서, 비교적 많은 비교안을 짧은 시간 내에 리스크 분석을 할 수 있으므로, 도로설계기술발전에 기여 할 수 있다고 판단된다.

• 태양에너지
• /
• 제10권1호
• /
• pp.63-79
• /
• 1990

태양열 주택 및 급탕의 보급 정책은 민수용 에너지의 절감 또는 대체의 의미에서 그 필요성 및 당위성을 인정받고 있으나, 다른 대체에너지와 마찬가지로 태양열 이용시스템의 경제성이 가상 문제가 되고 있는 실정이다. 본 연구에서는 태양열 주택 및 급탕의 경제성을 상세히 분석함으로써 실질적인 보급정책 자료를 제공하며, 실수요자를 위한 계몽근거를 마련하고자 한다. 본 연구에서는 태양열 이용시스템의 경제성을 정확히 수행하기 위한 의사결정지원 시스템(decision support system)을 확립시켰으며, 이에 따른 태양열 이용시스템의 열적성능 해석과 동시에 경제성 분석은 시행오차(trial & error)하에 수행할 수 있도록 각종전산 프로그램을 개발하였다. 태양열 주택 및 급탕의 열적성능 해석은 모의실험을 통하여 기상 조건과의 상관관계를 도출하고 태양열 이용시스템의 추가비용 및 연료가 이용을 현재가 (present worth) 개념으로 적응하여 산출하고, 순익분기 해석법 (break-even point analysis method) 및 수명가 산정법(life-cycle cost analysis method)으로 경제성 분식을 중점적으로 수행하였다.

• 한국정보처리학회논문지
• /
• 제6권3호
• /
• pp.710-721
• /
• 1999

In this paper, we have designed and implemented a parameter extraction system for analyzing Internet using SNMP. The extraction system has two modules; one is collection request module, and the other is analysis request module. The collection request module generates a polling script, which is used to collect management information from the managed system periodically. With this collected data, analysis request module extracts analysis parameters. These parameters are traffic flow analysis, interface traffic analysis, packet traffic analysis, and management traffic analysis parameter. For management activity, we have introduced two-step-analysis-view. One is Summary-View, which is used find out malfunction of a system among the entire managed systems. The Other is Specific-View. With this view we can analyze the specific system with all our analysis parameters. To show available data as indicators for line capacity planning, network redesigning decision making of performance upgrade for a network device and things like that.

• 산업경영시스템학회지
• /
• 제32권4호
• /
• pp.25-37
• /
• 2009

This Study constructs a dashboard system to synthetically and systematically monitor national R&D information based on data warehouse. Managing the national R&D statistics and trend is important since it provides data for policies and decision making for national R&D. Many agencies related to national R&D information collect the basic R&D statistic data which provides the basis of logical decision making and R&D policies. The data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent national R&D monitoring system to increase the relevance, accessibility and efficiency of data for various users. This study selects 25 key indicators based on the user requirements and designs data warehouse for supporting the indicators using star schema. The dashboard system is developed in this study provides the infrastructure of monitoring national R&D information and analytic environment of supporting statistical analysis and time-series data analysis.

• 한국정보시스템학회지:정보시스템연구
• /
• 제20권1호
• /
• pp.107-126
• /
• 2011

Model-based decision support system (DSS) has acted as a crucial role in strengthening the business competitiveness by providing a way of modeling and solving real-world decision problems in a quantitative and scientific manner. It is even more important for trading OTC derivatives, which requires extensive financial-engineering expertise while actively reacting to the continuously changing financial market. This paper proposes a flexible model-based DSS architecture that can support user-friendly interface for executing and analyzing the models and can adapt to the changes of financial market seamlessly. For user-friendliness, we implement the user-interfaces (UIs) using Microsoft Excel, a very widely used spreadsheet program for its great generality and extensibility. Users can utilize the analysis results of DSS or reprocess them for their special needs through the UIs in the form of familiar spreadsheets easily. For adaptiveness to the markets, the proposed architecture is constructed based on the object-oriented concepts, which enables such changes as release of a new financial product can be updated into the system without any delay at the lowest cost. We investigate the practical benefits and limitations of the proposed architecture by a case study on the construction of Model-based Trading Support System (MTSS), performed by a commercial bank in Korea.

• 한국물환경학회지
• /
• 제20권2호
• /
• pp.151-156
• /
• 2004

A decision support system, Watershed Analysis Risk Management Framework(WARMF), was applied to the Kyungan Stream watershed, a tributary of Lake Paldang, for calculation of total maximum daily loads(TMDL). The WARMF system was developed by Systech Engineering, USA, and has been successfully used in several watersheds, for TMDL studies. The study area was divided into 14 sub-basins, based on digital elevation model(DEM). The integrated watershed and stream model of WARMF was validated by flow and BOD data measured during the year of 1999. There were reasonable agreements between model results and field data, both in water flow and BOD. The validated Kyungan WARMF was extensively utilized to study the quantitative relationship between waste loads and receiving water quality. Based on TMDL guideline at Paldang Lake and Kyungan Stream, the water quality criterion were set to be 3.0mg/L, 3.5mg/L, and 4.0mg/L at the watershed outlet. The allowable waste loads of BOD, both from point and non-point sources, were determined at each water quality criterion. From this study, it was concluded that the WARMF provided several advantages over the conventional application of watershed and stream models for TMDL study, such as time variable simulations, multiple possible soutions, and reduction loads for goal water quality, etc.

• 한국시스템다이내믹스연구
• /
• 제16권2호
• /
• pp.5-32
• /
• 2015

Last year, a disastrous accident happened on the sea. Car ferry Se-wol which was on its way from In-cheon to Je-ju sank in the middle of the western sea. 304 passengers were drowned at the sea in the accident. There were no passengers who were waiting on board ship rescued in the accident. This study is to review the pattern of decision making in the middle of saving a life, right after Se-wol was about to sink. The starting point of this study is decision making on the rescue by rescue corps with no expert knowledge at the initial stage. When it comes to saving victims, there was no expert on rescue on the sea. Failure in rescue at Se-wol disaster lets us find a vicious circle of positive feedback loop. Experts with no experience act like well-qualified persons. Unqualified persons(leaders) have no expertise. Those who pretend to be expert occupy the important post in the hierarchy. It means we could not accumulate expertise of know-how in rescue division. That's why a vicious circle of positive feedback is formed in areas of disasters. It is necessary to train experts in Government Organizations to weaken the vicious circle of positive feedback.

• 전기학회논문지
• /
• 제56권7호
• /
• pp.1183-1190
• /
• 2007

This paper proposes the improved fault decision algorithm using DWT(Discrete Wavelet Transform) and ANNs for the FRTU(Feeder Remote Terminal Unit) on the feeder in the power distribution system. Generally, the FRTU has the fault decision scheme detecting the phase fault, the ground fault. Especially FRTU has the function for 2000ms. This function doesn't operate FI(Fault Indicator) for the Inrush current generated in switching time. But it has a defect making it impossible for the FI to be operated from the real fault current in inrush restraint time. In such a case, we can not find the fault zone from FI information. Accordingly, the improved fault recognition algorithm is needed to solve this problem. The DWT analysis gives the frequency and time-scale information. The neural network system as a fault recognition was trained to distinguish the inrush current from the fault status by a gradient descent method. In this paper, fault recognition algorithm is improved by using voltage monitoring system, DWT and neural network. All of the data were measured in actual 22.9kV power distribution system.