• 제목/요약/키워드: systems-thinking

검색결과 442건 처리시간 0.027초

Capstone Design Projects based on Invention Education

  • Shim, Joon-Hwan
    • 공학교육연구
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    • 제15권4호
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    • pp.31-34
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    • 2012
  • This paper deals with the introduction of capstone design projects based on invention education in Department of Electronics and Communication Engineering, Korea Maritime University. This course is referred to as Creative Engineering Design for spring semester of 4th-year undergraduates. The course focuses on creative thinking and cooperative mind to students by learning engineering design skills, realizing their idea through design project and recognizing practicality of their systems. To improve creative thinking of students, intellectual property (IP) education is very helpful. If engineering students take training program in IP, it will be very beneficial for CEOs to manage intellectual capital in many industries and to ensure competition power in their business. This study suggested that students take interest in connecting their ideas with inventions through invention education reinforcing an invention and a patent exercise. It is expected that this study may help to develop new curriculum of capstone design project including IP education in many universities.

품질경영과 창의혁신 (Quality Management and Creative Innovation)

  • 박영택
    • 품질경영학회지
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    • 제43권1호
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    • pp.1-10
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    • 2015
  • Purpose: It can be said that the 21st century is the age of creativity. However creativity has been relatively less considered in comparison with control and continuous improvement in quality management. How to incorporate creativity into quality management is treated in this paper. Methods: The opposing characteristics of quality and creativity are examined, and the possible outcomes resulted from the conflict are reviewed. Previous researches on managing evolutionary and revolutionary changes are also examined. Results: Quality and creativity require each other although they have incompatible characteristics, and can be incorporated into the innovation cycle. Conclusion: Creative thinking tools such as SIT should be included in the quality training and education for the effective operation of the innovation cycle.

TP를 이용한 개선된 공급체인의 핵심문제 도출 및 해결방향 선정에 관한 연구 : 해병대 공급체인을 중심으로 (A Study on Core Problems Deduction and Selection of Solving Direction Using TP : Focus on Marine Corps's Supply Chain)

  • 김갑주;고현우
    • 산업경영시스템학회지
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    • 제31권1호
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    • pp.108-115
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    • 2008
  • Future war needs a lot of changes for military organization. In this circumstance, it is importance the role of the Military Equipment Command Separation (MECS). In case of Korea Marine Corps, in spite of being MECS, Marine Corps has formed supply chain depended on Amy and Navy even it. Thus we proposed a new SCM of Marine Corps with Sense and Response concept. There are many problems and arguments to implement of new SCM. Therefore it is essential solving the problems but we don't know core problems and right solving directions. So, In this study, we present core problems deduction and selection of solving direction using TP(Thinking Process).

$\ll$황제내경(黄帝内经)$\gg$ 장상학리론체계적주요내용여결구간석(藏象学理论体系的主要内容与结构简析) (Analysis of the main contents and structure of the visceral manifestation theoretical systems in "Hwangjenaegyeong(黃帝內經)")

  • 장우붕
    • 대한한의학원전학회지
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    • 제23권1호
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    • pp.125-128
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    • 2010
  • The visceral manifestation theory in the "Hwangjenaegyeong(黃帝內經)" was constructed by the reference of the study of Confucian classics which main characteristics is the extensive application of the five phase theory. "Image" plays an important role in the thinking of the Chinese ancient people and it is the basis of the construction of the visceral manifestation theory. "Concept of holism" is the main directed thinking of the "Hwangjenaegyeong(黃帝內經)" "Four seasons, five viscera, Yin yang" theory is the core contents of the visceral manifestation theory in the "Hwangjenaegyeong(黃帝內經)".

TP와 SD를 활용한 친환경 복합운송체계 개선 연구모델 제언 (A Study Model Proposal with TP and SD to Improve Multimodal Transport System for Green Logistics)

  • 정재운;김현수;최형림;홍순구
    • 한국시스템다이내믹스연구
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    • 제11권1호
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    • pp.59-83
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    • 2010
  • The Korean Government decided to reduce 30% of carbon emissions as of 2020, tightening regulations to reduce greenhouse gas in the international society. Therefore it will burden Korean logistics industry that overland trucking freight covers 70~80% of all, to lower emissions. As known, rail and coast(feeder) transport systems can be substituted for road transport but there are many problems to solve in Korean multimodal (intermodal) transport system such as time, cost, etc. Because of this, multimodal transport system should be improved systematically. For the reason, it aims to study a conceptual model with Thinking Process of TOC(theory of constraints) and System Dynamics to help improve the existing multimodal transport system for green logistics.

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갈등문제 해결을 위한 시스템다이내믹스와 제약이론 방법론의 상호 보완적 적용에 관한 연구 (A Study on Complementary Usage of System Dynamics and Theory of Constraints Approaches for Solving a Dilemma)

  • 이성룡
    • 한국시스템다이내믹스연구
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    • 제12권4호
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    • pp.63-92
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    • 2011
  • The purpose of this paper is to investigate a possibility of applying multimethodological approach for solving a dilemma. The motivation of this attempt is that the two different approaches, the system dynamics and the theory of constraints, resemble each other in having mental models for describing the target system and using graphic tools for representing those mental models. After a brief discussion on the comparison of the two approaches, a combined method applying to the problem of dilemma is suggested. For an experimental example, the proposed approach is applied to the sales and finance conflict on an inventory issue. The study shows that the suggested approach is able to complement each other's drawbacks. Especially constructing a stock-and-flow model and implementing a computer simulation would be very useful for quantifying the system's behavior which is hardly tracked down when applying the theory of constraints alone.

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Why monetary system failed and How to restructure it

  • Kababji, Maher
    • 융합경영연구
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    • 제3권1호
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    • pp.23-32
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    • 2015
  • Present monetary system is based on fallacies. The purpose of this article is to highlight the pitfalls in economic thinking. The article shows that this way of thinking leads to the creation of inflation which is the root of all evil. The analysis proceeds in different approach to the contemporary theory of money. An inflation- free monetary system is introduced. Monetary system is the set of mechanisms that controls money. In this broad sense, monetary system can be divided into three different systems. Each of them has different goal; National monetary system which aims to raise sufficient funds in order to reach an optimal level of output growth that maintains full employment and satisfies the economic requirements of the community. National redistribution system which aims to redistribute funds in order to sustain individuals at or above a specified material standard of living, and enable government to provide public services. International monetary system which aims to preserve rights of parties in foreign exchange transactions.

Genetic Algorithm Application to Machine Learning

  • Han, Myung-mook;Lee, Yill-byung
    • 한국지능시스템학회논문지
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    • 제11권7호
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    • pp.633-640
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    • 2001
  • In this paper we examine the machine learning issues raised by the domain of the Intrusion Detection Systems(IDS), which have difficulty successfully classifying intruders. There systems also require a significant amount of computational overhead making it difficult to create robust real-time IDS. Machine learning techniques can reduce the human effort required to build these systems and can improve their performance. Genetic algorithms are used to improve the performance of search problems, while data mining has been used for data analysis. Data Mining is the exploration and analysis of large quantities of data to discover meaningful patterns and rules. Among the tasks for data mining, we concentrate the classification task. Since classification is the basic element of human way of thinking, it is a well-studied problem in a wide variety of application. In this paper, we propose a classifier system based on genetic algorithm, and the proposed system is evaluated by applying it to IDS problem related to classification task in data mining. We report our experiments in using these method on KDD audit data.

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공학 시스템 설계를 위한 체계적인 개념 설계 프로세스 구조 개발 (Structure Development of Systematic Conceptual Design Process for Designing Engineering Systems)

  • 박용택;국금환
    • 한국정밀공학회지
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    • 제24권9호
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    • pp.86-94
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    • 2007
  • The design process must be planned carefully and executed systematically in order to support designers who are faced with many engineering design problems. In particular, conceptual design stage is very important than other stages such as detailed design or manufacturing stage on designing engineering systems. When designers are faced contradictory situation in task, conceptual design usually requires inventive thinking which depends on their creativity. And in order to develop good concepts, it is necessary to resolve contradictory situations during conceptual design. This paper presents a structure of systematic conceptual design process for designing engineering systems. And we developed the automatic feeding screw device using the proposed design process structure.

유전 알고리듬을 이용한 퍼지 신경망의 최적화 및 혼돈 시계열 데이터 예측에의 응용 (The optimization of fuzzy neural network using genetic algorithms and its application to the prediction of the chaotic time series data)

  • 장욱;권오국;주영훈;윤태성;박진배
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.708-711
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    • 1997
  • This paper proposes the hybrid algorithm for the optimization of the structure and parameters of the fuzzy neural networks by genetic algorithms (GA) to improve the behaviour and the design of fuzzy neural networks. Fuzzy neural networks have a distinguishing feature in that they can possess the advantage of both neural networks and fuzzy systems. In this way, we can bring the low-level learning and computational power of neural networks into fuzzy systems and also high-level, human like IF-THEN rule thinking and reasoning of fuzzy systems into neural networks. As a result, there are many research works concerning the optimization of the structure and parameters of fuzzy neural networks. In this paper, we propose the hybrid algorithm that can optimize both the structure and parameters of fuzzy neural networks. Numerical example is provided to show the advantages of the proposed method.

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