• 한국시스템다이내믹스연구
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• 제7권2호
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• pp.121-132
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• 2006

A container terminal should concentrate on efficient terminal operation in the long view and analyze an effect through introduction of hi-technology, automated equipments and intelligent information system, when they want to improve their reliability and competitive power in intense global competition. To do this, first this study finds out factors which affect competitive power of a container terminal, and relation between them. And then we used System Dynamics method to analyze an effect according to a value fluctuation of the factors in the long term.

• Journal of the Korean Physical Society
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• 제73권9호
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• pp.1385-1392
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• 2018

A network with coupled biological neurons provides various forms of collective synchronous dynamics. Such phase-locking dynamics states resemble eigenvectors in a linear coupling system in that the forms are determined by the symmetry of the coupling strengths. However, the states behave as attractors in a nonlinear dynamics system. We here study the collective synchronous dynamics in a neural system by using a novel theory. We exhibit how the period and the stability of individual phase-locking dynamics states are determined by the characteristics of synaptic couplings. We find that, contrary to common sense, the firing rate of a synchronized state decreases with increasing synaptic coupling strength.

• 한국시스템다이내믹스연구
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• 제8권2호
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• pp.175-190
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• 2007

Stock market volatility largely depends on firms' value and growth opportunities. However, with the globalization of world economy, the effect of the synchronization in major countries is gaining its importance. Also, domestically, the business cycle and cash market of the country are additional factors needed to be considered. The main purpose of this research is to attest the application and usefulness of System Dynamics as a general stock market forecasting tool. Throughout this research, System Dynamics suggests a conceptual model for forecasting a KOSPI(Korea Composite Stock Price Index), taking the factors of the composite stock price indexes in traditional researches. In conclusion of this research, System Dynamics was proved to bean appropriate model for forecasting the volatility and direction of a stock market as a whole. With its timely adaptability, System Dynamic overcomes the limit of traditional statistic models.

• 한국시스템다이내믹스연구
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• 제13권3호
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• pp.5-22
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• 2012

Although many system dynamists point out the close relationship between institutional economics and system dynamics, the relationship between institutional political theory and system dynamics approach is not explicitly appreciated yet. We developed a system dynamics model to investigate theoretical propositions of institutional politics. Our system dynamics model showed how the endogenous mechanism can explain the political changes as well as orders. Although simple in the causal structure, our model could show a complex behavior of political competition. Several simulation results imply that some unexpected changes in election and power competition may come from the endogenous system rather than from exogenous factors such as economic and environmental shocks.

• 한국시스템다이내믹스연구
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• 제10권1호
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• pp.61-76
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• 2009

We try to use system dynamics to forecast the demand/supply and price, also transportation fare for iron ore. Iron ore is very important mineral resource for industrial production. The structure for this system dynamics shows non-linear pattern and we anticipated the system dynamic method will catch this non-linear reality better than the regression analysis. Our model is calibrated and tested for the past 6 year monthly data (2003-2008) and used for next 6 year monthly data(2008-2013) forecasting. The test results show that our system dynamics approach fits the real data with higher accuracy than the regression one. And we have run the simulations for scenarios made by possible future changes in demand or supply and fare related variables. This simulations imply some meaningful price and fare change patterns.

• 한국시스템다이내믹스학회:학술대회논문집
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• 한국시스템다이내믹스학회 2006년도 춘계학술대회 발표논문집
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• pp.1-18
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• 2006

• 한국시스템다이내믹스연구
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• 제7권2호
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• pp.171-189
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• 2006

This article aims to develop a model for analysing the relationships among the factors affecting the national competitiveness and to explore the future trend of Korea's national competitiveness using a system dynamics approach. For this purpose the article examines the national competitiveness indexes being published by the international institutions such as IMD and WEF. The article also demonstrates how national competitiveness may be strengthened and finally suggests that the national competitiveness should be studied systematically in the future.

• 한국시스템다이내믹스연구
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• 제2권2호
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• pp.5-23
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• 2001

This paper deals with how system dynamics can be used as a methodology for policy critics. First of all, I discuess conditions that is required as a methodoogy of policy critics. A methodology for policy critics should be ease to be uderstood by lay people. It can be produced within limited time and have high relevancy to the policy reality. By reviewing some examples and literatures, I propose that system dynamics can meet these requirements and thus can be a promising tool for policy critics.

• 한국시스템다이내믹스학회:학술대회논문집
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• 한국시스템다이내믹스학회 2004년도 춘계 학술대회 발표논문집
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• pp.109-128
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• 2004

A system dynamics model is developed in order to evaluate the contribution level of the activities regarding HANARO, which is the research reactor in Korea. The system dynamics model has room to be improved, but it is logically sound enough to evaluate the general level of contributions and to develop strategies for the HANARO to be more contributable. Considering the uncertainty involved with the input variables, the contribution level is ranged from 3 times to about 30 times of the investment made on it. The evaluation results can be summarized as follows : (Table Omitted).

• 한국환경과학회지
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• 제26권10호
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• pp.1185-1200
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• 2017

Solid waste management is currently a topic of concern, particularly in the protection of humans and the environment from toxic pollutants and hazardous materials. The importance of solid waste management is recognized at international, national, and community levels. Different agendas have been prioritized and assigned to improve quality of life, productivity, and health, and reduce the burden of pollution. Suitable management of solid waste requires appropriate technology that is affordable, socially accepted, and environmentally friendly. The use of a smart management system involving system dynamics can save energy, money, and labor. System dynamics is a computer-based approach that aids in predicting the behavioral patterns of variables, and correlating dependent and independent variables. The inclusion of system dynamics-based models in solid waste management has recently become more common. In this review, we used system dynamics to determine methods to disentangle solid waste management systems and analyzed different studies on solid waste management using system dynamics in different countries in detail. We also discussed the various software packages that are available for system dynamics and their usefulness for waste management. This review may help in understanding current solid waste management practices using system dynamics.