• Title/Summary/Keyword: 의사결정 최적화

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ICT Utilization for Optimization of SME Decision Making (중소기업 의사결정 최적화를 위한 ICT 활용 방안)

  • Park, Ji-Young;Kim, Kyung-Ihl
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.275-280
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    • 2018
  • Companies are now rapidly entering the realm of the realtime economy named 'Now Economy'. 'Now Economy' features the measurement and assessment, accelerating speed of decision making about business. According to this, companies intend to change their disposition to be able to make quick and accurate decision by gathering informations rapidly and correctly, and then by processing that. Applications of ICT can be possible to change the new decision system of companies. In this thesis, the new decision system through amalgamations of BPMS, Mobile, Cloud Service, Hadoop, BI and AI is presented. It will be able to make decision quickly and accurately by collecting all information between the most efficiently managed process and formal and informal data inside company through this, and then by combining changes with situations outside company.

A study on a ballast optimization algorithm for onboard decision support system (선내탑재 의사결정지원 시스템을 위한 발라스트 최적화 알고리즘에 관한 연구)

  • Shin Sung-Chul
    • Journal of Navigation and Port Research
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    • v.29 no.10 s.106
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    • pp.865-870
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    • 2005
  • Because there are only a limited number of means of action that are available for the master to pursue in the event of flooding, onboard decision support system has been required. The majority of systems activated during a flooding emergency (such as watertight and semi-watertight doors, bulkhead valves, dewatering pumps etc.) almost exclusively aim to restore a sufficiently high level of subdivision to prevent flooding from spreading through the ship. Even though assuming the flooding scenario is not catastrophic, the use of ballast tanks can be an additional and very effective tool to ensure both prevention of flooding spreading and also improve ship stability. This paper describes an optimization algorithm devised to choose the set of ballast tanks that should be filled in order to achieve an optimal response to a flooding accident.

A study on a ballast optimization algorithm for onboard decision support system (선내탑재 의사결정지원 시스템을 위한 발라스트 최적화 알고리즘에 관한 연구)

  • Shin Sung-Chul
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2005.10a
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    • pp.75-80
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    • 2005
  • Because there are only a limited number of means of action that are available for the master to pursue in the event of flooding, onboard decision support system has been required The majority of systems activated during a flooding emergency (such as watertight and semi-watertight doors, bulkhead valves, dewatering pumps etc.) almost exclusively aim to restore a sufficiently high level of subdivision to prevent flooding from spreading through the ship. Even though assuming the flooding scenario is not catastrophic, the use of ballast tanks can be an additional and very effective tool to ensure both prevention of flooding spreading and also improve ship stability. This paper describes an optimization algorithm devised to choose the set of ballast tanks that should be filled in order to achieve an optimal response to a flooding accident.

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Objective Reduction Approach for Efficient Decision Making of Multi-Objective Optimum Service Life Management (다목적 최적화 기반 구조물 수명관리의 효율적 의사결정을 위한 목적감소 기법의 적용)

  • Kim, Sunyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.254-260
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    • 2017
  • The service life of civil infrastructure needs to be maintained or extended through appropriate inspections and maintenance planning, which results from the optimization process. A multi-objective optimization process can lead to more rational and flexible trade-off solutions rather than a single-objective optimization for the service life management of civil infrastructure. Recent investigations on the service life management of civil infrastructure were generally based on minimizing the life-cycle cost analysis and maximizing the structural performance. Various objectives for service life management have been developed using novel probabilistic concepts and methods over the last few decades. On the other hand, an increase in the number of objectives in a multi-objective optimization problem can lead to difficulties in computational efficiency, visualization, and decision making. These difficulties can be overcome using the objective reduction approach to identify the redundant and essential objectives. As a result, the efficiency in computational efforts, visualization, and decision making can be improved. In this paper, the multi-objective optimization using the objective reduction approach was applied to the service life management of concrete bridges. The results showed that four initial objectives can be reduced by two objectives for the optimal service life management.

A Comparative Study on The Effective Use of Decision Tree Algorithms (의사결정 트리의 효용성 제고 방안에 관한 비교 연구)

  • Sug, Hyon-Tai
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2009.01a
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    • pp.321-324
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    • 2009
  • 비교적 적은 크기이면서 예측력에 있어 만족할 만한 의사결정목을 생성하는 방법으로서 적절한 크기의 샘플링을 제안하였다. 일반적으로 샘플의 크기가 작을수록 작은 의사결정목이 생성되므로 적절한 예측 정확도를 갖는 작은 트리를 생성하기를 원할 경우 적당한 크기의 샘플링을 하는 것이 트리의 최적화를 위한 계산을 더 시행하는 것보다 바람직하다고 할 수 있으며, 이와 같은 사실은 현재 알려진 가장 대표적 의사결정목 생성 알고리즘인 C4.5 및 CART를 사용하여 실험으로서 보여주었다.

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다분야통합 설계 최적화(MDO) 문제의 정식화 기법에 대한 고찰 Part1: MDO의 정식화 관련된 Issue들

  • 양영순;정현승
    • Bulletin of the Society of Naval Architects of Korea
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    • v.37 no.3
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    • pp.52-61
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    • 2000
  • 이상에서 MDO 기법의 정식화와 관련된 issue들인 해석의 연성과 관련된 SAND 및 NAND 기법과 의사결정의 분산과 관련된 다단계 최적화 기법을 살펴보았다.Part 2에서는 MDO기법의 정식화 방법들을 소개하고, 각 방법들이 Part1에서 언급된 issue들을 어떻게 다루고 있는지 살펴볼 것이다.

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Portfolio optimization strategy based on financial ratios (재무비율을 활용한 포트폴리오 최적화 전략)

  • Choi, Jung Yong;Kim, Jiwoo;Oh, Kyong Joo
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1481-1500
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    • 2017
  • This study examines the stability and excellence of portfolio investment strategies based on the accounting information of the Korean stock market. In the process of constructing the portfolio, various combinations of financial ratios are used to select the stocks with high expected return and to measure their performance. We also tried to improve our investment performance by using genetic algorithm optimization. The results of this study show that portfolio strategies using accounting information are effective for investment decision making and can achieve high investment performance. We also verify that portfolio strategy using genetic algorithms can be effective for investment decision making.

측정불확도를 응용한 오염토양부지 조사의 최적화 방안

  • 이종천
    • Proceedings of the KSEEG Conference
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    • 2003.04a
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    • pp.39-42
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    • 2003
  • 중금속으로 오염된 폐광산 주변부나 유류누출로 인한 토양오염 등과 같은 오염부지에 대한 환경조사는 그 결과를 토대로 환경계획이나 정책이 수립되므로 의사결정의 기초가 된다. 이때, 의사결정의 타당성은 오염부지 조사결과 오염도가 얼마나 정확하게 측정되었느냐에 따라 달리 평가되어 진다. 그러므로 이와 같은 환경조사는 측정결과의 불확실성이 감소되도록 정밀한 시료채취방법이나 분석방법을 고안하여 적용해야 한다. (중략)

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Development of DSS Tool for Mailbag Routing Problem (우편수송경로 결정을 위한 DSS Tool 개발)

  • 조용철;최민구;이창호
    • Proceedings of the Safety Management and Science Conference
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    • 2000.05a
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    • pp.71-76
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    • 2000
  • 본 논문에서는 우편사업의 효율적 운영을 위해 추진중인 우편집중국의 건설과 관련하여 기존에 발표된 우편집중국의 건설에 관한 연구보고서 등을 통해서 우편집중국의 운영에 관한 연구 둥을 분석한다. 또한, 우편집중국간의 우편수송경로결정 의사결정지원 시스템을 개발하기 위해 우편물 수송모델을 수송수단에 따른 복수계층 네트워크(Multi layer network)로 구성하여, 이를 다품목네트워크 흐름문제로 수송모델을 정의하고, 정수선형계획문제로 정식화하여 최적화 S/W LINGO를 이용하여 구한 해의 결과를 분석하여 향후 우편수송경로결정을 위한 의사결정지원시스템의 기본으로 활용하고자 한다.

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