• 한국농공학회지
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• 제42권5호
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• pp.103-113
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• 2000

A decision support system DSS-WQMRA (Decision Support System-Water Quality Management in Rural Area) was developed to help regional planners for the water quality management in a rural basin. The integrated model DSS-WQMRA, written in JAVA, includes four subsystems such as a GIS, a database, water quality simulation models and a decision model. In the system, the GIS deals with landuse and the location of pollutant sources. The database manages each data and supplies input data for various water quality simulation models. the water quality simulation model is composed of the GWLF( Generalized Watershed Loading Function), PCLM(Pollutant Loading Calculation Module) and the WASP5 model. The decision model based on mixed integer programming is designed to determine optimal costs and thus allow the selection of managemental practices to meet the water quality criteria. The methodology was tested with an example application in the Bokha River Basin, Kyunggi Province in Korea. It was proved that the integrated model DSS-WQMRA could be very useful for water quality management including the non-point source pollution in rural areas.

• Asia pacific journal of information systems
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• 제13권2호
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• pp.145-170
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• 2003

Open Decision Support System(DSS) is an automated and transparent system that is built to be shared both within and across organizations. The open DSS has been thought to be a set of decision components that are communicating through Web protocols. These characteristics intuitively invite the Web services concepts, which are currently one of the new trends in network-based business services. However, web services still are not active enough to be autonomous, and to provide for composing functionalities. These lead to the motivation on building a sophisticated web service to contain these features and to utilize web services on behalf of the user. This paper aims to propose a new concept of Meta Web Service, a web service-based open DSS. Decision modules in a dynamic and open DSS can be viewed as a web service. The Meta Web Service understands the users problem statement with ontology, performs web service discovery, web service composition, and automatically generates codes for composite web service execution. A prototype of example web service has been developed to show the feasibility of the proposed idea.

• 한국컴퓨터산업학회논문지
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• 제2권8호
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• pp.1025-1034
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• 2001

지식집약조직의 달성과 유지를 위한 정보기술의 활용에 대한 대안으로, 의사결정지원시스템(DSS： Decision Support System)의 활용 방안을 제시하였다. 의사결정과정의 구조화를 통해 집단의사결정을 지원하는 것이므로 집단 구성원들의 의사결정 과정에 대한 암묵적인 지식을 공유하고 이를 구조화, 종합화하여 명시적인 지식으로 변환할 수 있어야만 한다. 현재까지 조직에 구축된 KMS에 적용되지 못하고 있는 지식관리 기반기술을 DSS를 통해 활용할 수 있음도 파악할 수 있다. 즉, Share, Synthesize, Solve의 기능을 제공하는 정보기술을 활용한 KMS의 활용 사례를 찾기 어려우나, 이와 같은 기술들을 DSS에 적용함으로써 지식 집약적인 조직의 달성과 유지를 위해 DSS를 활용할 수 있을 것이다.

• 지능정보연구
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• 제14권1호
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• pp.47-66
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• 2008

본 연구에서는 유비쿼터스 환경에서 요구사항 변화에 따른 동적 다중 에이전트들의 의사결정 지원을 위한 유비쿼터스 의사결정지원시스템 포털(ubiquitous decision support system, u-DSS Portal)을 제안한다. u-DSS 포털은 의사 결정과정에서 발생할 수 있는 데이터의 의미적 충돌 해결을 위한 지능형 온톨로지 관리 모듈(intelligent-Ontology Management Module, i-OMM), 데이터 충돌 해결을 위한 다중에이전트 관리 모듈(Multi-agent Coordination Module, MACM)과 지식정제모듈(Knowledge Refinery Module, KRM)들을 포함한다. 즉 제안된 모듈들은 다중에이전트들과 협력을 통해 문제를 해결해야 할 경우에는 개별 에이전트들이 보유한 각 온톨로지의 통합 및 데이터간의 충돌 해결을 지원한다. i-OMM은 개별 에이전트들이 보유하고 있는 이질적인 온톨로지의 통합을 위해, 문제해결을 위한 하나의 통합된 새로운 동적 온톨로지 뷰(integrated ontology view, IOV)의 생성을 지원한다. MACM은 고객 에이전트들의 요구사항 변화에 따라 관련 개별 에이전트들 간의 데이터 충돌을 해결하여 에이전트들의 의사결정과정을 지원한다. KRM은 문제 해결과정에서 생성된 가상의 온톨로지 뷰를 재사용할 수 있도록 정제하는 역할을 수행한다. 따라서 본 연구에서 제안된 알고리즘은 고객의 요구사항을 최우선으로 하는 유풀필먼트(u-Fulfillment) 시스템에 적용되었으며 그 활용 대상은 고객, 판매자, 제조업체, 및 배송업체의 배송차량들의 에이전트들로 구성되었다.

• 경영과학
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• 제17권2호
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• pp.21-37
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• 2000

This study proposes a Web Decision Support System (DSS) as a new approach to resolving conflicts arising at the interface of production and marketing which have traditionally been in conflict with each other. Many researchers studied on the types and resolution mechanisms of conflicts among various organizations and organizational units. However, as global and distributed operations of firms based on the Internet become a commonplace business landscape, these conflict resolution mechanisms are found very difficult to be directly applied. From this perspective, the Web DSS proposed in this study can be claimed to be appropriate for the Internet-based distributed business operations. The current related literature on the production-marketing interface shows that the possible use of the Web DSS approaches has little been studied in spite of the decent amount of research conducted on the coordination of decision making between the two functions. This paper develops the architecture of the Web DSS and demonstrates its effectiveness based on the implementation results.

• 경영과학
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• 제18권2호
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• pp.61-72
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• 2001

This paper presents a decision support system (DSS) for selecting the best delivery policy at an internet general shopping mall with its own distribution center and many outside enterprises linked up with the mall. The DSS provides the decision maker with the performance information of three delivery policies (individual delivery, collective delivery, mixed delivery) for the given service level, customer order pattern, direct/indirect delivery ratio, unit costs of various delivery modes, upper level of goods characteristic index for collective delivery poller, etc. Furthermore, the DSS allows the decision maker to perform the sensitivity analyses of three delivery policies for their major parameters and unit costs of delivery modes. The DSS is developed with AweSim simulation 1anguage and Visual Basic programming 1anguage.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.361-371
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• 1999

This paper is concerned with designing and implementing the Internet shopping mall by using virtual reality-driven avatar and web decision support system. Traditionally, the Internet shopping mall has been designed based on the combination of several hyperlinks, images, and texts. However, this sort of approach results in a lower performance because possible customers cannot make more accurate shopping decisions. To overcome this kind of pitfalls facing the current Internet shopping malls, we propose using a combination of virtual reality and web DSS. The main virtues of our proposed approach to designing the Internet shopping mall are as follows: First, the virtual reality technique is emerging as one of alternative guaranteeing a sense of reality for customers part and facilitating the complex process of shopping decision makings. Especially, the avatar, which is an artificially designed man working on the Internet, can make easy and absorbing the Internet shopping-related decision making processes. Second, the web DSS approach can provide an effective decision support mechanism for customers. Especially, we design a set of intelligent agents for the proposed web DSS. Experimental results with an illustrative example showed that our proposed approach can yield a new Internet shopping mall paradigm with which customers can benefit from a high level of decision support functions.

• Journal of Preventive Medicine and Public Health
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• 제22권1호
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• pp.57-64
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• 1989

A decision support system (DSS) was developed to support doctor's decision-making in diagnosing hearing loss. The final diagnosis encompassed 41 diseases with the problem of hearing loss. The system was developed by integrating model-oriented DSS technique and artificial intelligence technology. The system can be used as both diagnosis tool and teaching tool for medical students. Furthermore, the AI technology obtained from this study may also be used in developing DSS for hospital management.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 1996년도 The Korean Institute of Navigation 1996년도 춘계학술발표회 논문집
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• pp.59-76
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• 1996

Vessels in the world merchant fleet generally operate in either liner or bulk trade. The supply and the demand trend of general cargo ship are both on the ebb however those trend of tankers and containers are ins light ascension. Oil tankers are so far the largest single vessel type in the world fleet and the tanker market is often cited as a texbook example of perfect competition. Some shipping statistics in recent years show that there has been a radical fluctuation in spot charter rate under easy charter's market. This implies that the proper scheduling of tankers under spot market fluctuation has the great potential of improving the owner's profit and economic performance of shipping. This paper aims at developing the TS-DSS(Decision Support System for Tanker Scheduling) in the context of the importance of scheduling decisions. TS-DSS is defined as a DSS based on the optimization models for tanker scheduling. The system has been developed through the life cycle of systems analysis design and implementation to be user-friendly system. The performance of the system has been tested and examined by using the data edited under several tanker scheduling has been tested and examined by using the data edited under several tanker scheduling scenarios and thereby the effectiveness of TS-DSS is validated satisfactorily. The authors conclude the paper with the comments of the need of appropriate support environment such as data-based DSS and network system for successful implementatio of the TS-DSS.

• 한국항해학회지
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• 제20권1호
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• pp.27-46
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• 1996

Vessles in the world merchant fleet generally operate in either liner or bulk trade. The supply and the demand trend of general cargo ship are both on the ebb, however, those trend of tankers and containers are in slight ascension. Oil tankers are so far the largest single vessel type in the world fleet and the tanker market is often cited as a textbook example of perfect competition. Some shipping statistics in recent years show that there has been a radical fluctuation in spot charter rate under easy charterer's market. This implys that the proper scheduling of tankers under spot market fluctuation has the great potential of improving the owner's profit and economic performance of shipping. This paper aims at developing the TS-DSS(Decision Support System for Tanker Scheduling) in the context of the importance of scheduling decisions. The TS-DSS is defined as the DSS based on the optimization models for tanker scheduling. The system has been developed through the life cycle of systems analysis, design, and implementation to be user-friendly system. The performance of the system has been tested and examined by using the data edited under several tanker scheduling scenarios and thereby the effectiveness of TS-DSS is validated satifactorily. The authors conclude the paper with the comments on the need of appropriate support environment such as data-based DSS and network system for succesful implementation of the TS-DSS.