• 제목/요약/키워드: Decision support model

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모델베이스 설계를 위한 개념적 모델링 도구에 관한 연구 (A Conceptual Modeling Tools for the Model Base Design)

  • 정대율
    • 한국정보시스템학회지:정보시스템연구
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    • 제7권1호
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    • pp.181-208
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    • 1998
  • In many literatures of model management, various schemes for representing model base schema have proposed. Ultimately, the goal is to arrive at a set of mutually supportive and synergistic methodologies and tools for the modeling problem domain and model base design. This paper focus on how best to structure and represent conceptual model of problem domain and schema of model base. Semantic concepts and modeling constructs are valuable conceptual tools for understanding the structural relationships and constraints involved in an model management environment. To this end, we reviewed the model management literature, and analyzed the constructs of modeling tools of data model management graph-based approach. Although they have good tools but most of them are not enough for the representation of structural relationships and constraints. So we wanted more powerful tools which can represent diverse constructs in a decision support modeling and model base schema design. For the design of a model base, we developed object modeling framework which uses Object Modeling Techniques (OMT). In Object Modeling Framework, model base schema are classified into conceptual schema, logical schema, and physical schema. The conceptual schema represents the user's view of problem domain, and the logical schema represents a model formatted by a particular modeling language. The schema design, this paper proposes an extension of Object Model to overcome some of the limitations exhibited by the OMT. The proposed tool, Extended Object Model(EOM) have diverse constructs for the representation of decision support problem domain and conceptual model base schema.

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건축협력설계 의사결정 지원시스템 구축방안 (Constitutional Directions of Decision Support System for Cooperative Design in Architectural Design Phase)

  • 전재열;오승준
    • 한국건설관리학회논문집
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    • 제4권2호
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    • pp.91-98
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    • 2003
  • 국내 건축설계 프로젝트에서는 협력업체간의 커뮤니케이션이 원활치 못하여 건축 부위 설계 시 성능 및 비용을 만족하는 적절한 설계대안 생성이 어려울 뿐 아니라, 설계단계에서부터 시공단견1에 이르기까지 다양한 원인으로 발생되는 설계변경에 적절히 대응하지 못하고 있다. 따라서 분야별 설계도서의 불일치로 인한 시공 품질 저하 등의 문제가 발생되고 있다. 이에 따라 본 연구에서는 건축설계단계에서 합리적인 건축설계대안 생성을 위한 협력설계 의사결정 지원시스템 구축방법의 개념을 제시하였다.

Intercropping in Rubber Plantation Ontology for a Decision Support System

  • Phoksawat, Kornkanok;Mahmuddin, Massudi;Ta'a, Azman
    • Journal of Information Science Theory and Practice
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    • 제7권4호
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    • pp.56-64
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    • 2019
  • Planting intercropping in rubber plantations is another alternative for generating more income for farmers. However, farmers still lack the knowledge of choosing plants. In addition, information for decision making comes from many sources and is knowledge accumulated by the expert. Therefore, this research aims to create a decision support system for growing rubber trees for individual farmers. It aims to get the highest income and the lowest cost by using semantic web technology so that farmers can access knowledge at all times and reduce the risk of growing crops, and also support the decision supporting system (DSS) to be more intelligent. The integrated intercropping ontology and rule are a part of the decision-making process for selecting plants that is suitable for individual rubber plots. A list of suitable plants is important for decision variables in the allocation of planting areas for each type of plant for multiple purposes. This article presents designing and developing the intercropping ontology for DSS which defines a class based on the principle of intercropping in rubber plantations. It is grouped according to the characteristics and condition of the area of the farmer as a concept of the rubber plantation. It consists of the age of rubber tree, spacing between rows of rubber trees, and water sources for use in agriculture and soil group, including slope, drainage, depth of soil, etc. The use of ontology for recommended plants suitable for individual farmers makes a contribution to the knowledge management field. Besides being useful in DSS by offering options with accuracy, it also reduces the complexity of the problem by reducing decision variables and condition variables in the multi-objective optimization model of DSS.

고속도로 건설사업의 재정/민자 발주선택 의사결정 지원모델 (Decision Support Model for Determining Public or Private Highway Investment Projects)

  • 여동훈;정우용;한승헌;이영천
    • 대한토목학회논문집
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    • 제29권3D호
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    • pp.381-389
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    • 2009
  • 2007년 기준으로 정부는 18.4조원을 사회기반시설에 투자하고 있으며, 이 중 16.3%에 해당되는 3조원을 민간투자 사업에 집행하고 있다. 이는 인프라 시설에 대한 국민적인 요구를 충족시킴과 동시에 재정부담을 경감하고 사업 추진시 위험을 축소시키기 위한 것이다. 하지만 현재 국가 인프라 사업은 기획단계에서 재정사업 또는 민자사업으로 결정하는 체계적인 기준이나 지침이 없이 주로 재정 상태를 고려한 주무관청의 자체판단에 따라 사업추진 방식이 결정되고 있다. 또한 초기에 재정 사업으로 추진되는 경우에도, 사업타당성 조사를 실시하는 과정에서 민자사업으로서의 가능성은제대로 평가되지 않는 상황이다. 따라서 본 연구는 국가 인프라사업에 대하여 재정사업과 민자사업을 선택하는 합리적인 발주기준을 제시하는 것을 목표로 한다. 이를 위하여 고속도로 사업을 중심으로 재정 민자 의사결정 기준을 경제성, 정책성, 사업관리 항목으로 나누고 이를 바탕으로 재정 민자 의사결정 모델을 제시하였다. 본 연구에서는 의사결정 모델을 구축하기 위해 30건의 재정 및 민자사업 실제 사례를 분석하고 102건의 전문가 설문을 실시하였다. 본 모델은 크게 두 단계로 구분되는데, 첫째 경제성 평가는 평균 및 표준편차 분석을 통해 민자불가, 재정민자 양측가능 및 재정불가 구간을 제시하였으며, 둘째 정책성 평가와 사업관리 평가는 로지스틱 회귀분석을 실시함으로써 재정 또는 민자사업의 추진여부를 구분 짓는 예측식을 도출하였다. 본 연구의 결과를 통해 고속도로 사업의 기획단계에 참여하는 의사결정자는 고려중인 사업의 재정 민자사업 결정시 보다 체계적이고 합리적인 사업발주방식을 결정할 수 있을 것으로 사료된다.

배차계획을 위한 대화형 의사결정지원시스템 (An Interactive Decision Support System for Truck Dispatching)

  • 박양병;홍성철
    • 경영과학
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    • 제15권2호
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    • pp.201-210
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    • 1998
  • Truck dispatching is one of the most commonly occurring problems of transprot management. We developed an interactive decision support system named IDSSTD, for the truck dispatching problem where two conflicting objectives are treated and travel speed varies depending on the passing areas and time of day. The IDSSTD aids the decision-making process by allowing the user to interact directly with the database, to direct data to a decision model, and to portray results in a convenient form. The IDSSTD is consisted of two major interactive phases. The pre-scheduling interactive phase is to reduce the complexity of a given problem before applying the BC-saving heuristic algorithm and the post-scheduling interactive phase is to improve practically the algorithmic solution. The IDSSTD has the capabilities of its own manipulation(analysis and recommendation) and diverse graphic features in order to facilitate a user's interaction.

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WEB-BASED SIMULATION MODEL FOR MULTI-ATTRIBUTE STRUCTURED DECISION SUPPORT SYSTEM

  • Hwang, Heung-Suk;Cho, Gyu-Sung
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2001년도 The Seoul International Simulation Conference
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    • pp.44-49
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    • 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.

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PDM 데이터베이스로부터 핵심성과지표를 추출하기 위한 정보 시스템 아키텍쳐 (An Information System Architecture for Extracting Key Performance Indicators from PDM Databases)

  • 도남철
    • 대한산업공학회지
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    • 제39권1호
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    • pp.1-9
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    • 2013
  • The current manufacturers have generated tremendous amount of digitized product data to efficiently share and exchange it with other stakeholders or various software systems for product development. The digitized product data is a valuable asset for manufacturers, and has a potential to support high level strategic decision makings needed at many stages in product development. However, the lack of studies on extraction of key performance indicators(KPIs) from product data management(PDM) databases has prohibited manufacturers to use the product data to support the decision makings. Therefore this paper examines a possibility of an architecture that supports KPIs for evaluation of product development performances, by applying multidimensional product data model and on-line analytic processing(OLAP) to operational databases of product data management. To validate the architecture, the paper provides a prototype product data management system and OLAP applications that implement the multidimensional product data model and analytic processing.

이식성을 위한 메타데이터 기반의 CDSS 구축 (Implementation of Meta Data-based Clinical Decision Support System for the Portability)

  • 이상영;이윤현;이윤석
    • 디지털산업정보학회논문지
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    • 제8권1호
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    • pp.221-229
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    • 2012
  • A model for expressing meta data syntax in the eXtensible Markup Language(XML) was developed to increase the portability of the Arden Syntax in medical treatment. In this model that is Arden syntax uses two syntax checking mechanisms, first an XML validation process, and second, a syntax check using an XSL style sheet. Two hundred seventy-seven examples of MLMs were transformed into MLMs in ArdenML and validated against the schema and style sheet. Both the original MLMs and reverse-parsed MLMs in ArdenML were checked using a Arden Syntax checker. The textual versions of MLMs were successfully transformed into XML documents using the model, and the reverse-parse yielded the original text version of MLMs.

단계적 품질경쟁력 강화를 위한 대화형 의사결정지원시스템의 개발 (An Interactive Decision Support System for Stepwise Improvement of Quality Competitiveness)

  • 신완선;박만희
    • 산업경영시스템학회지
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    • 제27권4호
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    • pp.170-178
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    • 2004
  • As quality becomes a primary leading factor of organizational success, various management strategies have been introduced to improve quality competitiveness. Quality competitiveness, however, is difficult to measure and numerous organizations are struggling to set realistic improvement objectives. The primary purpose of this research is to propose a systematic approach to help the practitioners develop an improvement plan for their organizational quality competitiveness. This approach employs DEA(Data Envelopment Analysis) to evaluate relative efficiency among companies which make efforts to improve their quality competitiveness. It presents an integer programming model to elicit an optimal improvement plan for meeting a target level. A decision support system is also developed for the managers to plan a sequential improvement plan based on both DEA model and the integer programming model.

A DECISION SUPPORT MODEL FOR PROCUREMENT OF REUSABLE MATERIALS IN MULTIPLE PROJECT MANAGEMENT

  • Ju-Yeoun Han;Dong-Woo Shin ;Kyung-Rai Kim ;Sang-yoon Chin;Hee-Sung Cha
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.1100-1105
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    • 2005
  • To compete with large construction companies whose dominance in market share is deepening recently, the needs for improving field production system of mid-size construction companies have increased rapidly. The development of an adequate model that focuses on the organizational size and work process of the mid-size construction companies are needed to increase productivity through the informatization in the construction industry[0]. The authors of this study used case studies on the problems of the mid-size construction companies in procuring work and presented a method to solve such problems so that the managers in head office of those mid-size construction companies can effecitively deal with multiple sites[0].

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