• 동아시아경상학회지
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• 제12권1호
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• pp.35-42
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• 2024

Purpose: A railroad project is a complex system with large construction costs in the initial stage and ongoing operating costs over its lifecycle. Current railroad projects tend to be based on construction options, which leads to huge deficiencies in operating costs. This phenomenon results from a lack of appropriate tools to accurately estimate a railroad project's lifecycle costs. This study attempts to analyze the major components of railroad operating costs and to propose a decision-making system for analyzing the long-term lifecycle costs of railroad projects. Research design, data and methodology: We review the literature and analyze the current status of railroad operating costs in Korea and overseas. Based on previous projects, a framework for project options and operating costs is proposed. The framework is applied to actual railroad projects to demonstrate the validity of the model. Results: Case analysis shows that our framework is comprehensive in analyzing the primary aspects of railroad operating costs and plays an effective role in choosing various railroad project options. This study points out that the railway project operates inefficiently because estimating long-term costs without reflecting specific project options causes many errors. Conclusions: A major contribution of this study is the development of an improved framework for accurately estimating operating costs and providing policymakers and engineering firms with a holistic decision support system. Detailed components in estimating operating costs of the railroad business are discussed. And we present a decision-making tool that policymakers and private businesses can use in planning the railroad business.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.181-183
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• 2006

This paper proposes an intelligent decision framework for update of the environment model using GSPN(generalized stochastic petri nets). The GSPN has several advantages over direct use of the Markov Process. The modeling, analysis, and performance evaluation are conducted on the mathematical basis. By adopting the probabilistic approach, our decision framework helps the robot to decide the time to update the map. The robot navigates autonomously for a long time in dynamic environments. Experimental results show that the proposed scheme is useful for service robots which work semi-permanently and improves dependability of navigation in dynamic environments.

• 한국경영과학회지
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• 제27권1호
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• pp.53-73
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• 2002

The launch of a new business is crucial to the future growth and profitability of a company. A new business project typically requires a large amount of resources while it has a high possibility of failure. The evaluation of new business opportunities is therefore quite a critical decision-making to companies. This evaluation includes screening of a large number of criteria at a time which often makes desision-making very complicated. Management should evaluate the business alternatives in a sound and consistent manner that is hard to achieve because the new business evaluation is a typical semi/unstructured decision-making problem. The difficulty in such an evaluation will increase if it is required for management to consider both quantitative and qualitative criteria simultaneously. Under these circumstances, this study has proposed a decision-making framework that utilizes analytical hierarchy process(AHP). This study has identified a set of criteria essential to the new business evaluation and suggested a systematic framework for it. Both qualitative and quantitative evaluations are incorporated into the single framework in this study.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.804-808
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• 2002

A strategic decision making needs a sound process modeling to find out the right path of organizational changes; however, dynamic feedback processes involved in a real world business, make it difficult to predict the outcomes of strategic decisions. In this paper, we present a conceptual framework to facilitate strategic decision making process for organizational changes. The framework, which employs the concepts of analytic network process (ANP) and system dynamics (SD), can be used to prioritize various projects under consideration and to make a long-term strategic plan in a constructive manner.

• 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.

• Nuclear Engineering and Technology
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• 제52권1호
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• pp.69-77
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• 2020

After the Fukushima Daiichi accidents, public concerns on nuclear safety and the corresponding burden of nuclear power plant licensees are increasing. In order to secure public trust and enhance the rationality of current safety regulation, we develop a risk-informed decision making (RIDM) framework for the Korean regulatory body. By analyzing all the regulatory activities for nuclear power plants in Korea, eight action items are selected for RIDM implementation, with appropriate procedures developed for each. For two items in particular - the accident sequence precursor analysis (ASPA) and the significance determination process (SDP) - two customized risk evaluation software has been developed for field inspectors and probabilistic safety assessment experts, respectively. The effectiveness of the proposed RIDM framework is demonstrated by applying the ASPA procedure to 35 unplanned scrams and the SDP to 24 findings from periodic inspections.

• Journal of Ecology and Environment
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• 제35권4호
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• pp.251-258
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• 2012

Many aquatic ecosystems suffer from anthropogenic disturbances, including the introduction of damaging levels of toxic substances. The effects of disturbances include complex relations with various components involved in the systems, and can include physical, chemical, and hydrological disruption depending of the contaminant. Decision Support Systems (DSSs) are developed to help decision makers to deal with complex management crises, through the systematic structuring and evaluation of decisions, and through providing easy-to-use and integrated tools for information elaboration and display. We reviewed various DSSs developed for toxic substances in aquatic ecosystems, and suggested a conceptual framework which is best suited to the management of such issues within Korea. It may assist stakeholders with their decision making process, and in the achievement of a consensus on water management solutions.

• Journal of Information Technology Applications and Management
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• 제14권2호
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• pp.117-127
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• 2007

Using an exchange standard, we can design an open architecture for the interchange of decision models and data. XML (eXtensible Markup Language) provides a general framework for creating such a standard. Although XML -based model representation languages such as OOSML were proposed, they are partly limited in expression capability, flexibility, generality, etc. This paper proposes a new method for expressing and sharing decision models and data based on XBRL (eXtensible Business Reporting Language), which is a XML language specialized in business reporting. We have developed a XBRL taxonomy for decision models with the concepts and relationships of a representative modeling framework, SM (Structured Modeling). The method allows for expressing data as well as decision models in a consistent and flexible manner. Diverse dependencies between components of SM models can also be affluently expressed.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1998년도 춘계학술발표회논문집(1)
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• pp.833-837
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• 1998

This paper presents preliminary findings regarding a modeling framework under development for use in a multi-attribute decision model for advanced emergency operating procedures(EOPs). This model provides a means for optimal decision making strategy for advanced emergency operating procedures conceptualizing the dynamic coordination of responsibilities and information in the human system interactions with advanced reactor systems. For the purpose of evaluation of the applicability of this modeling framework, an empirical case study for a post-cooldown strategy during an steam generator tube rupture (SGTR) accident was carried out. As a result, it was found empirically that the multi-attribute decision model is a useful tool for establishing advanced EOPs that reduce the operator's cognitive and decision making burden during the accident mitigation process.

• 지능정보연구
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• 제12권4호
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• pp.127-136
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• 2006

본 연구 논문은 육군 전술C4I체계 지원을 위한 전문가시스템 프레임워크를 제시하기 위한 것이다. 한국 육군은 사단급 이상 부대의 전투상황실에서 수작업으로 실시하던 전장정보분석 업무를 지원하기위해 일명 "상황위협평가전문가시스템(STAFS)"개발을 실시한 바 있다. 그러나 기 개발된 STAFS는 종합적인 전투상황실 운영 개념에 부합하는 의사결정체계 구조에 맞추어 개발된 것이 아니고 전술지휘본부 내 임무 중 극히 일부분인 정보융합분석만을 위한 시스템으로 개발되어 실 업무 활용에 많은 제한을 가져 왔다. 따라서 본 논문에서는 이러한 제한점을 개선하여 전투상황실 업무를 종합적으로 지원하는 전문가시스템 프레임워크를 정립하여 지휘관의 의사결정을 지원하기 위한 전문가시스템 개발 구조를 제시하였다.