• Journal of the Korean Society of Safety
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• v.32 no.3
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• pp.21-27
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• 2017

Even if several chemical accident prevention systems such as PSM(Process Safety Management), RMP(Risk Management Plan), etc. have been carried out, many chemical accidents have still occurred at industrial plants in Korea. We describe the status of chemical industry and the trend of occurrence of chemical accidents in Korea. And this paper analyzes the recent chemical accidents in eight ways. These ways include chemical accident forms, ignition sources, sources of chemical equipment, human vs equipment/material causes, worker's working situation, employee scale, hazardous substances, week & time, fatalities of manufacture & contractor's workers. Finally we proposes the four representative prevention measures brought to result of cause analysis by accident statistics.

• Journal of the Korea Safety Management & Science
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• v.10 no.3
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• pp.183-191
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• 2008

Many companies desperately effort to find out more effective management method to survive in keen competition. Jack welch of past GE's CEO had said that an excellent result of today's GE management is thanks to Six sigma work. Many korean companies are introduced Six sigma method in their management since late 1993. Six sigma uses a set of strategies, statistics and methods to improve the processes we use to do everything from designing to manufacturing a product from marketing products and services to providing business information to our internal and external customers. The purpose of this study is to overcome these problems and to help make an important decision in establishing introduction strategy by abstracting the reasons and success factors and result indices which are important sources for introducing Six sigma management.

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.210-218
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• 2007

Road freight transport industry in Korea contains many and complicate problems such as over supply of the vehicle caused by rapid policy changes, illegal multilevel transactions, poor truck drivers working environment, lack of road freight transport related statistics and so on. Korean government has developed various logistics industrial policy trying to solve these problems in various ways. However, the relationship among the problems and action plans has been more and more entangled since the part of suggested policies have made another perverted problems. These complex structure of the toad freight transport industry in Korea makes difficult to identify and to solve the problems. Causal map method helps to give a clean picture to understand the complex industry at a glance. This study contributes for visualization of the causal relationships among the existing problems and related policy issues in the road freight transport industry in Korea by causal map. This study could be helpful to develop the actual road freight transport industrial policies including the illogical multilevel and unfair transaction in Korea.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1214-1220
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• 2006

In this article, it will be shown that a nonparametric and data-adaptive approach to the variance change point (VCP) detection problem is possible by formulating it as a pattern classification problem. Technical aspects of the VCP detector are discussed, which include its training strategy and selection of proper classification tool.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1221-1226
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• 2006

The use of Artificial Neural Networks (ANN) has received increasing attention in the analysis and prediction of financial time series. Stationarity of the observed financial time series is the basic underlying assumption in the practical application of ANN on financial time series. In this paper, we will investigate whether it is feasible to relax the stationarity condition to non-stationary time series. Our result discusses the range of complexities caused by non-stationary behavior and finds that overfitting by ANN could be useful in the analysis of such non-stationary complex financial time series.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1207-1213
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• 2006

This paper shows that case-based reasoning (CBR), an artificial intelligence technique, is a quite efficient tool in monitoring financial market against its possible collapse. For this purpose, daily financial condition indicator (DFCI) monitoring financial market is built on CBR and its performance is compared to DFCI on neural network. This study is empirically done for the Korean financial market.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.5
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• pp.53-59
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• 2012

Each year, the Forest Service performs measurements to gather statistics regarding on the forest resources and forest character. However, this is not easily obtainable information due to the lack of human accessibility to the survey sample. I proposed a new method to gather data which utilizes the technology of digital imaging. This new method allows over 50% of the sample to be viewable.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.53-62
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• 1994

This paper deals with the analysis of the PC communication service system performance which will be installed as a gateway between PSTN and PSDN. Firstly, we classify the data traffic pattern into interactive, conversational, and file transfer type from the actual statistics. Secondly, we model the system structure as a closed queueing network model with multiservers and multiple customer classes and derive the analytic method to be able to measure the system performance using Mean Value Analysis. Finally, the simulation results indicate that the analytic method obtained is a good approximation method to measure the system performance of the PC communication service system as a gateway between PSTN and PSDN.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.37
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• pp.41-51
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• 1996

This paper evaluates the clustering performance of a neural network and a statistical method. Algorithms which are used in this paper are the GLVQ(Generalized Learning vector Quantization) for a neural method and the k-means algorithm fer a statistical clustering method. For comparison of two methods, we calculate the Rand's c statistics. As a result, the mean of c value obtained with the GLVQ is higher than that obtained with the k-means algorithm, while standard deviation of c value is lower. Experimental data sets were the Fisher's IRIS data and patterns extracted from handwritten numerals.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.61
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• pp.59-73
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• 2000

Nowadays many People know well that happiness depends not on richness but on health and wellbeing, and many researchers have studied about such subjects. This paper studies correlations, causal relations and factors of many variables to be considered to be able to explain human health and welfare in a country system, using Kendall's tau and factor analysis methods. Also it finds what main variables are to be controlled for a country system to become more advanced in various sides of health and welfare, using Mann-Whitney statistics. The contribution of this paper is that it can suggest essential variables and important relations which are helpful to construct an efficient system of health and welfare in Korea.