• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.185-189
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• 2012

Objective: The aim of this paper is to introduces Hyundai Heavy Industry's ergonomic risk assessment tool, H-OWAS, which is considering work load and frequency compared to the OWAS. Background: As prevalence of work-related musculoskeletal disorders(WMSDs) in ship building industries has been much higher than that in other industries, most of the large scaled corporations have implemented their own prevention program since legislation on the prevention of WMSDs had introduced in 2003. Method: This paper introduces WMSDs prevention program, HEMP(HHI Ergonomics Management Program) which consists of risk assessment, improvement efforts of working environments, medical treatment and training/evaluation and describes how to operate the program. We also describe application of OWAS method considering work load and frequency for risk factor analysis(H-OWAS) and shows methodology for assessing the ergonomic risk factor. And comparison of the assessment results between OWAS and H-OWAS is carried out by statistical analysis. Result: There was statistically significant difference in the assessment results between OWAS and H-OWAS, and regression shows H-OWAS explains the borg's scale of perceived exertion more clearly than OWAS. Conclusion: H-OWAS has been proved more effective tool than OWAS to evaluate ergonomic risk factor under real working condition. Application: H-OWAS can be widely applied to the many other companies when implementing the ergonomics risk assessment.

• Journal of the Ergonomics Society of Korea
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• v.27 no.3
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• pp.53-60
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• 2008

The work-related musculoskeletal disorders have constantly increased since it became an issue in 1996. In 2002, the Government established the risk factors analysis system in order to prevent musculoskeletal disorders. The proclamation by the Ministry of Labor defined eleven spheres of work associated with musculoskeletal disorders. As a result, business proprietors, who have workers engaged in tasks associated with musculoskeletal disorders, are required to conduct the risk factor analysis on a regular basis every three years. However, numerous issues have been raised while carrying out the risk factor analysis in various industries. One of the issues is that even though work sampling is an ideal method in risk factor analysis, most cases have selected extreme task postures, which is judged by an expert, due to limited time. This study will propose the desired direction of the risk factor analysis by comparing task assessment results between work sampling scenes and extreme task scenes.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.597-607
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• 2011

Value at Risk(VaR) is being widely used as a simple tool for measuring financial risk. Although VaR has a few weak points, it is used as a basic risk measure due to its simplicity and easiness of understanding. However, it becomes very difficult to estimate the volatility of the portfolio (essential to compute its VaR) when the number of assets in the portfolio is large. In this case, we can consider the application of a dimension reduction technique; however, the ordinary factor analysis cannot be applied directly to financial data due to autocorrelation. In this paper, we suggest a dimension reduction method that uses the time-series factor analysis and DCC(Dynamic Conditional Correlation) GARCH model. We also compare the method using time-series factor analysis with the existing method using ordinary factor analysis by backtesting the VaR of real data from the Korean stock market.

• Journal of the Korea institute for structural maintenance and inspection
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• v.2 no.4
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• pp.194-200
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• 1998

Risk, probability of failure, which includes various uncertainties and influential factors of performance should be accounted for in engineering system. Recently, several different methods to analysis risk evaluation evolved and one of the practical method is FOSM (First Order Second Moment Method ). FOSM method is derived in terms of terms coefficient of variance to uncertainties which influence various factor. For risk evaluation and uncertainty analysis in hydraulic design system, load-capacity relationship is adopted in this paper. Sample catchment with design of sewer system is applied, which plots safety factor vs. risk. Risk evaluation and uncertainty analysis are very to important develop optimal design model in hydraulic system

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.343-348
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• 2004

Since the destruction of World Trade Center the attention of the united States and the wider international community has focussed upon the need to strengthen security and prevent terrorism. This paper suggests an analysis prior to risk factor and structure for anti-terrorism in the korean maritime society. For this, in this paper, maritime terror risk factor was extracted by type and case of terror using brainstorming method. Also, risk factor is structured by FSM method and analyzed for ranking of each risk factor by AHP. At the result, the evaluation of risk factor is especially over maximum factor for related external impact.

• Journal of Navigation and Port Research
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• v.29 no.6 s.102
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• pp.487-493
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• 2005

Since the destruction of World Trade Center the attention of the United States and the wider international community has focussed upon the need to strengthen security and prevent terrorism This paper suggests an analysis prior to risk factor and structure for anti-terrorism in the korean maritime society. For this, in this paper, maritime terror risk factor was extracted by type and case of terror using brainstorming method. Also, risk factor is structured by FSM method and analyzed for ranking of each risk factor by AHP. At the result, the evaluation of risk factor is especially over maximum factor for related external impact.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.133-140
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• 2009

In the paper, we proposed the systematical and quantitative software risk management methodology based on risk analysis model. A software risk management consists of the basic risk management method(BRIMM) and the detailed risk management method(DRIMM). BRIMM is applied to unimportant phases or the phase which also the risk factor does not heavily influence to project. DRIMM is used from the phase which influences highly in project success or the phase where the risk factor is many. Fulfilling risk management combined two methods, we can reduce project's budget, term and resource's usage, and prevent risk with the optimum measures obtained by the exact risk analysis.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.1
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• pp.73-85
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• 2019

The purpose of this study was to discover the effects of clothing involvement and risk perception, which can influence risk reduction behavior. The subjects of this study were young male consumers living in Seoul and Kyunggi-do who had purchased fashion products from an Internet shopping mall. Questionnaires were collected from July 1, 2018 to July 8, 2018 and 300 questionnaires were used in the data analysis. The data was analyzed utilizing a factor analysis, a regression, ANOVA and a Duncan-test. The results of this study were as follows. Clothing involvement factors influenced various risk perceptions and risk perception influenced risk reduction behaviors. Among the various risk perception factors, psychological risk was the most important factor, which was influenced by clothing involvement factors. The usage of media was the most important factor, which was influenced by various risk perception factors. Finally clothing involvement and risk perception influenced risk reduction behaviors. Among the various risk reduction factors, the usage of media was the most important factor, which was influenced by clothing involvement and risk perception factors.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.77-84
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• 2018

Report documents of industrial and occupational accidents have continuously been accumulated in private and public institutes. Amongst others, information on narrative-texts of accidents such as accident processes and risk factors contained in disaster report documents is gaining the useful value for accident analysis. Despite this increasingly potential value of analysis of text information, scientific and algorithmic text analytics for safety management has not been carried out yet. Thus, this study aims to develop data processing and visualization techniques that provide a systematic and structural view of text information contained in a disaster report document so that safety managers can effectively analyze accident risk factors. To this end, the risk factor map using text mining and self-organizing map is developed. Text mining is firstly used to extract risk keywords from disaster report documents and then, the Self-Organizing Map (SOM) algorithm is conducted to visualize the risk factor map based on the similarity of disaster report documents. As a result, it is expected that fruitful text information buried in a myriad of disaster report documents is analyzed, providing risk factors to safety managers.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.293-298
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• 2015

The vessel encounter data collected from the vessel trajectories in the maritime traffic situation is possible to analyze vessel collision and near-collision risk using statistical method. In this study, analyzing variables extracted from the vessel encounter data using factor analysis, we determine main factors effecting vessel collision risk from vessel encounter data. In order to calculate each factor, it used principal component analysis for factor analysis after normalization and standardization of vessel encounter variables. As a result of the factor analysis, main effect factors are summarized into the vessel approach factor and collision avoidance variance factor.