• 경영과정보연구
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• 제5권
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• pp.33-59
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• 2000

Problem definition is as important as problem solving in decision making. Decision makers, however, tend to see problem partly or to define it unclearly. The researchers on decision making tend to lay a focus only on the Process of solving the given problem. This dissertation empirically studied the Problem diagnosis and definition in the decision making process. This study developed three kinds of DSS(Decision Support System) for the research and analyzed the effectiveness of the problem diagnosis and definition using DSS developed in this study. The three kinds of DSS are K-T(Kennel and Tregoe) DSS which is a method of table-styled information Presentation, and F-N(Fact-Net) DSS and C-E(Cause and Effect) DSS which are methods of graphic-styled information presentation. The empirical study was conducted twice; the pilot test and the main test. The samples of experiment are 218 students for the pilot test and 259 students for the main test. The author used K-T DSS and F-N DSS for the pilot test, and the revised K-T DSS and C-E DSS for the main test. A questionnaire survey method was included in the main test process The result of the study shows that the group using DSS in problem diagnosis and definition is more effective than the group not using DSS. A table-styled information presentation DSS, K-T, turns out more effective than a graphic-styled information presentation DSS, F-N, K-T DSS and C-E DSS showed no significant differences in the effectiveness in the main test. These results indicate that the use of DSS in the stage of problem diagnosis and definition is very effective and the methods and types of system design are a significant factors for DSS development.

• 경영과학
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• 제21권2호
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• pp.15-25
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• 2004

Great effort has been exerted to redesign the supply chain network as a means to improve corporate competitiveness. In this study, we present a mathematical model and a solution system to help redesign corporate logistics networks. The objective of the model is to minimize total logistics costs. We applied the solution system to real problem cases. We use the model and the concept to develop decision support system that is based on C++ with the use of CPLEX callable library as a solution engine. We tested and verified the DSS for redesigning the network of a large Korean electronics company. Through various scenario analyses. we recommend to redesign their supply chain network that demonstrates the possibility of substantial logistics cost savings.

• 한국농공학회:학술대회논문집
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• 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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• pp.63-68
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• 1999

The purpose of this study is to design the framework of DSS (Decision Support System) for drought mitigation with internet and web interface. The users who apart from central government always connect to its main server via iternet. And web interface and browser operable models make it possible to analze data related with drought and planning for drought mitigation . Thereby, it need to build a database system , which manages data update from the users, and develop java-applet programs to assist decision making. The framework of DSS might be nicely adapted to the planning and decision making for the agricultural drought migigation.

• Spatial Information Research
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• 제5권2호
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• pp.185-194
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• 1997

의사결정지원체계의 한 분류인 공간의사결정지원체계(SDSS)는 지리정보체계(GIS)와 의사결정지원체계(DSS)의 결합으로 이루어진다. 계획지원체계(PSS)는 공간의사결정지원체계의 기능에 지리정보체계보다 고차원의 공간분석기능과 시간기능을 추가하여 구성된다. 본 연구는 계획가와 기술자가 적정 하수도 관경대안을 생성할 수 있는 계획지원체계의 개발에 관한 연구이다. 적정 하수도관경 결정을 위한 계획지원체계(PSS/GSS)의 이론적인 근거는 토지이용계획과 개발이 우오수관로의 수요를 유발한다는데 있다. 공급, 수요, 대안생성, 그리고 평가의 4단계를 통하여 PSS/GSS는 하수관거 생성의 기본계획, 기본설계,실시설계단계를 통합한다. GIS와 사용자 인터페이스는 하수도관망 배치, 하수량 산장, 그리고 생성된 대안의 도시에 유용한 수단이다. 모의에 ?나 하수도관경결정모델은 초리관망을 생성하낟. 사용자는 하수도관망의직접조작에 의하거나 하수도관경결정모델의 매개변수 조정에 의하여 대안을 생성할 수 있으며 이러한 대안의 타당성은 하수도관경결정모델에 의하여 점검된다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1989년도 추계학술발표회 발표논문초록집; 이화여자대학교, 서울; 23 Sep. 1989
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• pp.77-85
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• 1989

The purpose of this research entails the study of the multicriteria graph-theoretic Facility Layout Problem(FLP), the development of a Decision Support System(DSS), and a sensitivity analysis for graph Theoretic heuristics. The graph theoretic FLP Decision Support System gives decision makers or planners more information as a guide in producing their final layouts. This information is provided by a variety of final result scores, so called upper bound values, based on different options and different criteria. The increased information provided will give decision makers more confidence in design a block plan. One case is presented to demonstrate the applicability of the system to real-world problem. Finally, applicabilities of the DSS to other format layouts, such as GT layout and JIT's U-line, are briefly mentioned.

• Asian Pacific Journal of Cancer Prevention
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• 제16권15호
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• pp.6605-6608
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• 2015

Background: Colorectal cancer is a major cause of morbidity and mortality throughout the world. Colorectal cancer screening is an optimal way for reducing of morbidity and mortality and a clinical decision support system (CDSS) plays an important role in predicting success of screening processes. DSS is a computer-based information system that improves the delivery of preventive care services. The aim of this article was to detail engineering of information requirements and work flow design of CDSS for a colorectal cancer screening program. Materials and Methods: In the first stage a screening minimum data set was determined. Developed and developing countries were analyzed for identifying this data set. Then information deficiencies and gaps were determined by check list. The second stage was a qualitative survey with a semi-structured interview as the study tool. A total of 15 users and stakeholders' perspectives about workflow of CDSS were studied. Finally workflow of DSS of control program was designed by standard clinical practice guidelines and perspectives. Results: Screening minimum data set of national colorectal cancer screening program was defined in five sections, including colonoscopy data set, surgery, pathology, genetics and pedigree data set. Deficiencies and information gaps were analyzed. Then we designed a work process standard of screening. Finally workflow of DSS and entry stage were determined. Conclusions: A CDSS facilitates complex decision making for screening and has key roles in designing optimal interactions between colonoscopy, pathology and laboratory departments. Also workflow analysis is useful to identify data reconciliation strategies to address documentation gaps. Following recommendations of CDSS should improve quality of colorectal cancer screening.

• 산업경영시스템학회지
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• 제10권16호
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• pp.39-51
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• 1987

This paper deals with the case analysis of second order processes under sampled-data. Proportional Integral-Derivative(PID) control, and development of Decision Support Systems(DSS) for such processes. In this paper three techniques were described for identifying the dynamics of closed loop stable processes. The first, called pulse testing is a frequency-domain method, which yields the frequency response diagram of an open loop process. The second is a time-domain method which yields the gain and time constants of the process model. The third technique is based on step response and gives the parameters of PID controllers. The development of DSS design programs consisting of above three techniques will provide very powerful tools in the microcomputer based process control.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.747-749
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• 2003

For forest fire monitoring in relatively cool area like Siberia, design of Decision Support System (DSS) is proposed. The DSS is consisted of three different algorithms to detect potential fires from NOAA AVHRR image. The algorithm developed by CCRS (Canada Center for Remote Sensing) uses fixed thresholds for multi-channel information like one by ESA (European Space Agency). The algorithm of IGBP (International Geosphere Biosphere Program) involves contextual information in deriving fire pixels. CCRS and IGBP algorithms are rather liberal compared to more conservative ESA algorithm. Fire pixel information from the three algorithms is presented to the user. The user considers all these information in making decision about the location fire takes place.

• Spatial Information Research
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• 제13권2호
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• pp.139-155
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• 2005

수도권의 인구밀집 현상은 우리나라의 큰 사회문제이다. 이러한 문제를 해결하기 위해 신도시를 건립하여 인구를 분산시키려 노력하고 있지만 서울과의 접근성이 극심한 교통체증으로 인하여 약하기 때문에 신도시들은 베드타운의 역할을 잘 수행하지 못하는 실정이다. 이러한 문제는 대중교통수단의 확충이 그 해결책이 될 것이다. 따라서 국내 수도권 도시철도망의 경우 향후 연장길이 확충은 물론 경량전철 둥 다양한 유형의 도시철도가 도입될 예정이다. 이러한 계획을 성공적으로 수행하기 위해서는 철도자체의 특성에 대한 고려뿐만 아니라 도시철도가 건설되는 지역의 종합적인 검토가 필요하다. 본 연구에서는 지리정보시스템의 공간분석기능을 이용한 의사결정 지원시스템을 설계함으로서 기존 도시철도 건설계획 수립과정을 개선해보고자 한다.

• 산업공학
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• 제13권3호
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• pp.539-547
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• 2000

An architecture of a Web-based Decision Support system for mathematical analysis is presented. Front-end modules provide web-client GUI environment for mathematical analysis. The networking architecture is built upon client/server system by Java socket and accesses database by JDBC in WWW. Back-end modules provide decision supporting service and data management for mathematical programming analysis. In the back-end any analysis tools, such as mathematical optimizer, simulation package, or statistics package can be used. As an application example for this implementation, optimal facility replacement decision problem is selected. In the implementation the optimal facility replacement decision problem is formulated as a shortest path problem. It uses Oracle DB and CPLEX package as the mathematical optimizer. While ORAWeb is designed and implemented on the optimal facility replacement problem, it can easily be extended to any decision supporting problems that would require mathematical optimization process.