• Title/Summary/Keyword: Decision making support tool

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Fuzzy-based Decision Support Model for Determining Preventive Maintenance Works Order (퍼지 집합을 활용한 건물 사전 보수작업 대상 선정 지원모델)

  • Ko, Taewoo;Park, Moonseo;Lee, Hyun-Soo;Kim, Hyunsoo;Kim, Sooyoung
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.1
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    • pp.51-61
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    • 2014
  • Preventive maintenance of buildings has increased the importance of interest in that it is able to maintain the performance building has and to prevent a problem occurred in future. For improved preventive maintenance work, it should be performed to select works order clearly and preceded the accurate measurement for the state of works order. when measuring the conditions, measurement of the state of work order considering the various criteria is more effective than to measure by only criterion. But, there are something hard to evaluate exactly between the criteria because of decision-maker's subjective judgments. To solve these problems, this research proposes decision making support model to determine preventive maintenance works order using Fuzzy-sets. By using Fuzzy-sets when measuring state of work objects, it can be reduced vagueness of judgments by decision-makers. This model can be used as a tool for objective evaluation of preventive maintenance work orders and offer the guideline to perform decision-making.

Integration of System Design and Management Data Using CASE Tool (시스템공화 전산지원도구를 이용한 시스템 설계 및 관리 데이터의 통합)

  • Lee, Woo-Dong
    • Proceedings of the KIEE Conference
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    • 2006.07b
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    • pp.1097-1098
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    • 2006
  • This study investigated the needs and effectiveness of the application of Computer-Aided Systems Engineering Tool in order to enhance the chance of success of the large and complex system development projects like City Train System. Furthermore, it was shown that the merits of Systems Engineering and Project Management must be complementary to each other in their interaction in a project. Especially, for the project plans must be executed based on the fully understood system being developed, the technical and management data of the system development need be integrated and be able to support exact and rapid decision making of project planning. As an alternative solution approach, a model for development knowledge capture integrating both technical and management data of system development was proposed using Computer Aided Systems Engineering tool-Cradle.

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Development and Verification of Operation Management Tool for KASS

  • Minhyuk Son;ByungSeok Lee
    • Journal of Positioning, Navigation, and Timing
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    • v.12 no.4
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    • pp.431-436
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    • 2023
  • In order to provide continuous Korea Augmentation Satellite System (KASS) services, the operation organization should continuously and systematically perform operations, maintenance, and technical activities. All subsystems of KASS, all Line Replacement Units (LRUs), and Software Replacement Units (SWRUs) should be operated and maintained continuously. In order to effectively manage these activities, it is necessary to develop an Operation Management Tool (OMT). For this purpose, operation management, operation organization, and operation activities were defined. The defined requirements were divided into general, function, interface, and database for OMT development, and functions and decision-making procedures consisting of site/asset/trouble/work order/schedule management were designed. The OMT developed by reflecting the site and asset information as well as the design content met predefined requirements. The OMT will be actively used in actual KASS operation and will evolve by continuously reflecting the additional requirements of operators. Through this tool, KASS will support continuous service provision.

Severe Accident Management Using PSA Event Tree Technology

  • Choi, Young;Jeong, Kwang Sub;Park, SooYong
    • International Journal of Safety
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    • v.2 no.1
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    • pp.50-56
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    • 2003
  • There are a lot of uncertainties in the severe accident phenomena and scenarios in nuclear power plants (NPPs) and one of the major issues for severe accident management is the reduction of these uncertainties. The severe accident management aid system using Probabilistic Safety Assessments (PSA) technology is developed for the management staff in order to reduce the uncertainties. The developed system includes the graphical display for plant and equipment status, previous research results by a knowledge-base technique, and the expected plant behavior using PSA. The plant model used in this paper is oriented to identify plant response and vulnerabilities via analyzing the quantified results, and to set up a framework for an accident management program based on these analysis results. Therefore the developed system may playa central role of information source for decision-making for severe accident management, and will be used as a training tool for severe accident management.

A New Product Development Using Robust Design and Decision Making Process

  • Lin, Than;Doan, Trieu An;Vu, Ngoc Anh;Cho, Guk-Hyun;Lee, Jae-Woo;Byun, Yung-Hwan
    • Journal of the Korean Society of Systems Engineering
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    • v.3 no.1
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    • pp.41-48
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    • 2007
  • This paper presents a design methodology for developing a new push scooter. A case study is clone with effective planning processes to ensure the product quality under the different phases of a product design process. Parametric model based design process simulation and optimization is implemented by using ANSYS application tool. The relationship matrix and decision matrix are drawn by using several methods. The simulation results for deterministic design and robust design are compared. This entire design process phase can support the design and quality improvements for a new product development.

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STATISTICAL MODELLING USING DATA MINING TOOLS IN MERGERS AND ACQUISITION WITH REGARDS TO MANUFACTURE & SERVICE SECTOR

  • KALAIVANI, S.;SIVAKUMAR, K.;VIJAYARANGAM, J.
    • Journal of applied mathematics & informatics
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    • v.40 no.3_4
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    • pp.563-575
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    • 2022
  • Many organizations seek statistical modelling facilitated by data analytics technologies for determining the prediction models associated with M&A (Merger and Acquisition). By combining these data analytics tool alongside with data collection approaches aids organizations towards M&A decision making, followed by achieving profitable insights as well. It promotes for better visibility, overall improvements and effective negotiation strategies for post-M&A integration. This paper explores on the impact of pre and post integration of M&A in a standard organizational setting via devising a suitable statistical model via employing techniques such as Naïve Bayes, K-nearest neighbour (KNN), and Decision Tree & Support Vector Machine (SVM).

Information Engineering and Workflow Design in a Clinical Decision Support System for Colorectal Cancer Screening in Iran

  • Maserat, Elham;Farajollah, Seiede Sedigheh Seied;Safdari, Reza;Ghazisaeedi, Marjan;Aghdaei, Hamid Asadzadeh;Zali, Mohammad Reza
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.15
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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.

A Consensus-Building Support System for Water Environment Governance Based on Multi-Criteria Decision Making (물환경 거버넌스를 위한 다기준의사결정 기반 합의형성 지원시스템)

  • Lee, Jin Hee;Yi, Choong Sung;Kim, Gil Ho
    • Journal of Korea Water Resources Association
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    • v.47 no.7
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    • pp.573-585
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    • 2014
  • In this study, we propose a consensus-building support system to engage various stakeholders, transparently disseminate information, ensure objective decision-making, and reflect the view of each stakeholder as a methodology or tool for resolving conflicts that may arise in the process of implementing water environment policies and plans. The system suggests ways to resolve issues by engaging all interested actors and not just a few influential groups of stakeholders imposing their solutions upon local users. The system provides an environment where stakeholders can find solutions to conflicts through their own efforts, mediating competing interests through the interactions such as negotiations and conciliation to reach a consensus. To verify the applicability of the proposed consensus-building support system, simulated role-playing albeit restricted was conducted on the case of the Hantangang Dam construction. The simulation validated that open discussions and negotiations with the local community or NGO by the government increased the efficacy of negotiations.

Development of Design Alternative Analysis Program Considering RAM Parameter and Cost (RAM 파라미터와 비용을 고려한 설계대안 분석 프로그램 개발)

  • Kim, Han-sol;Choi, Seong-Dae;Hur, Jang-wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.6
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    • pp.1-8
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    • 2019
  • Modern weapon systems are multifunctional, with capabilities for executing complex missions. However, they are required to be highly reliable, which increases their total cost of ownership. Because it is necessary to produce the best results within a limited budget, there is an increasing interest in development, acquisition, and maintenance costs. Consequently, there is a need for tools that calculate the lifecycle costs of weapons systems development to facilitate decision making. In this study, we propose a cost calculation function based on the Markov process simulator-a reliability, availability, and maintainability analysis tool developed by applying the Markov-Monte Carlo method-as an alternative to these requirements to facilitate decision-making in systems development.

DSS of Discharging from Military Service using the Analysis of Mental Patient's Prescription (정신과 환자 처방분석을 통한 의병전역 결정지원 시스템)

  • Jeon, Young-Hee;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of the military operations research society of Korea
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    • v.34 no.3
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    • pp.93-105
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    • 2008
  • Recently, mental patients are increasing by secondary gain, that is, purpose for avoiding a military service as the social prejudice about mental disease decreases. In particular, it is unique diagnostic tool to a patient's subjective symptoms complaint and a doctor's special judgment, in occasion of psychiatry problem that an objective diagnostic tool does not exist. In this paper, we provide an objective basis to help in a quick decision-making of discharging from military service using the datamining, that analyzes mental patient's prescription to find a special rule. Therefore, we propose the decision support system of discharging from service using the analysis of mental patient's prescription.