• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.1
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• pp.83-91
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• 2008

기업이 수요에서 자기상관을 인식하지 못하게 되면, 이 기업은 수요가 서로 독립이면서 동일한 분포를 따른다는 가정 하에 개발된 전통적인 재고주문방법을 시행하게 된다. 따라서 이 경우에 안전재고량, 재고부족 확률, 재고부족량 등과 같은 성과지표의 관점에서 전통적인 재고주문방법이 정확한 재고주문방법에 비하여 얼마만큼 비효율적인가를 알아보는 것은 기업경영의 측면에서 의미 있는 일이다. 이 논문에서는 정기주문시스템 하에서의 두 가지 재고 관리방법을 비교하기 위한 수리적 모형을 개발하고 이를 통하여 어떠한 상황 하에서 정확한 재고주문방법이 전통적인 재고주문방법에 비하여 더 절실한지를 살펴본다.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.59-77
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• 2012

This study focuses on predicting which firms will increase capital by issuing new stocks in the near future. Many stakeholders, including banks, credit rating agencies and investors, performs a variety of analyses for firms' growth, profitability, stability, activity, productivity, etc., and regularly report the firms' financial analysis indices. In the paper, we develop predictive models for rights issues using these financial analysis indices and data mining techniques. This study approaches to building the predictive models from the perspective of two different analyses. The first is the analysis period. We divide the analysis period into before and after the IMF financial crisis, and examine whether there is the difference between the two periods. The second is the prediction time. In order to predict when firms increase capital by issuing new stocks, the prediction time is categorized as one year, two years and three years later. Therefore Total six prediction models are developed and analyzed. In this paper, we employ the decision tree technique to build the prediction models for rights issues. The decision tree is the most widely used prediction method which builds decision trees to label or categorize cases into a set of known classes. In contrast to neural networks, logistic regression and SVM, decision tree techniques are well suited for high-dimensional applications and have strong explanation capabilities. There are well-known decision tree induction algorithms such as CHAID, CART, QUEST, C5.0, etc. Among them, we use C5.0 algorithm which is the most recently developed algorithm and yields performance better than other algorithms. We obtained data for the rights issue and financial analysis from TS2000 of Korea Listed Companies Association. A record of financial analysis data is consisted of 89 variables which include 9 growth indices, 30 profitability indices, 23 stability indices, 6 activity indices and 8 productivity indices. For the model building and test, we used 10,925 financial analysis data of total 658 listed firms. PASW Modeler 13 was used to build C5.0 decision trees for the six prediction models. Total 84 variables among financial analysis data are selected as the input variables of each model, and the rights issue status (issued or not issued) is defined as the output variable. To develop prediction models using C5.0 node (Node Options: Output type = Rule set, Use boosting = false, Cross-validate = false, Mode = Simple, Favor = Generality), we used 60% of data for model building and 40% of data for model test. The results of experimental analysis show that the prediction accuracies of data after the IMF financial crisis (59.04% to 60.43%) are about 10 percent higher than ones before IMF financial crisis (68.78% to 71.41%). These results indicate that since the IMF financial crisis, the reliability of financial analysis indices has increased and the firm intention of rights issue has been more obvious. The experiment results also show that the stability-related indices have a major impact on conducting rights issue in the case of short-term prediction. On the other hand, the long-term prediction of conducting rights issue is affected by financial analysis indices on profitability, stability, activity and productivity. All the prediction models include the industry code as one of significant variables. This means that companies in different types of industries show their different types of patterns for rights issue. We conclude that it is desirable for stakeholders to take into account stability-related indices and more various financial analysis indices for short-term prediction and long-term prediction, respectively. The current study has several limitations. First, we need to compare the differences in accuracy by using different data mining techniques such as neural networks, logistic regression and SVM. Second, we are required to develop and to evaluate new prediction models including variables which research in the theory of capital structure has mentioned about the relevance to rights issue.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.125-142
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• 2013

As a reinforcing strategic-alignment of IT business, Financial Service becomes more rely on IT systems. It needs to continuous information security activities to provide a secure and reliable finance service. Performance measurement of information security activities can be useful for decision and management support. The purpose of this study is to derive CSF(Critical Success Factor) and KPI(Key Performance Indicator) based on K-ISMS, Financial IT Information Security Standards. Providing a rationale can be used to determine key performance indicators, which are utilized as basic data for establishing security policies for financial IT security competency.

• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.1-6
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• 2009

This study was evaluated the indicators of GRI guideline LA6-LA9 for industrial safety sanitation field on 22 domestic sustainable management reports and 46 overseas reports published by companies in 2007 and 2008, was developed new indicators with emphasis on industrial safety sanitation act, and was assessed whether they are released. As a result, LA6(Percent of total workforce represented in formal joint management-work health and safety committees that help monitor and advise on occupational health and safety programs) was evaluated highest in release ratio on whether to release the reports by each indicator of industrial safety sanitation field using domestic sustainable management report GRI guideline, and in the case of overseas companies, it was evaluated that there is no companies that release all from LA6 through LA9 among GRI guideline, but it was grasped that the ratio of partial release is high. As for the release of indicators was developed with the use of industrial safety sanitation act of 22 domestic companies, the release of indicator No. 1(report and industrial disaster record) and 10(health diagnosis) of industrial safety sanitation act was high. This study is meaningful in that it analyzed the industrial safety sanitation field of sustainable management report(CSR) that has not been attempted so far with the use of new indicators developed with emphasis on GRI guideline and industrial safety sanitation act.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.530-537
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• 2022

Tug services are essential services to ensure port safety. However, due to the relatively low barrier to entry into the tug service market, the number of service companies has increased, which has led to growing concerns about excessive competition among companies and poor service quality. To solve these problems, it is necessary to prepare a service quality evaluation system, but full-fledged implementation remains far away. The purpose of this study is to develop a tug service quality evaluation model that can be practically applied. To this end, an evaluation model consisting of two major categories, eight middle categories, and 25 detailed evaluation indicators was developed through a literature review, case studies, and expert interviews. AHP analysis is also conducted to derive the relative importance of the evaluation items. As a result of the analysis, it was found that the weight of user satisfaction was higher than that of management evaluation. In addition, the weights for each detailed indicator of management evaluation were in descending order of facility management, company management, and financial soundness, and it was analyzed that the management of facilities directly used for services was important. User satisfaction is in descending order of safety, punctuality, service satisfaction convenience, and transparency. These results show that securing safety is a top priority, and that the inherent quality of services such as safety and punctuality is more urgent than those of the convenience and transparency of the process in terms of providing preliminary services.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.243-253
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• 2013

This research paper introduces the application and implementation of medical decision metrics that classifies medical decision-making into four different metrics using statistical diagnostic tools, such as confusion matrix, normal distribution, Bayesian prediction and Receiver Operating Curve(ROC). In this study, the metrics are developed based on cross-section study, cohort study and case-control study done by systematic literature review and reformulated the structure of type I error, type II error, confidence level and power of detection. The study proposed implementation strategies for 10 quality improvement activities via 14 medical decision metrics which consider specificity and sensitivity in terms of ${\alpha}$ and ${\beta}$. Examples of ROC implication are depicted in this paper with a useful guidelines to implement a continuous quality improvement, not only in a variable acceptance sampling in Quality Control(QC) but also in a supplier grading score chart in Supplier Chain Management(SCM) quality. This research paper is the first to apply and implement medical decision-making tools as quality improvement activities. These proposed models will help quality practitioners to enhance the process and product quality level.

• Proceedings of the Safety Management and Science Conference
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• 2002.11a
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• pp.285-294
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• 2002

The size of state in Korea is like Israel, this country's venture capital is ruled by government. This venture capital's character is below: the concentration on research of venturer affect positively at qualify of products, This paper lies with venture capital's risk character & performance. The results show that Korean venture capitals have lager unsystematic risk than systematic risk, which implies they specialize in specific business and/or regional areas instead of diversification. The Sharpe measure reveals that the performances of Korean venture capitals are very low relative to even the market portfolio(Kospi) and Kosdaq.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.147-158
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• 2012

This paper aims to develop a new chain metrics for obtaining lean Overall Equipment Effectiveness(OEE) and present implementation strategy which considers the properties for Total Productive Maintenance(TPM) to reduce machine losses, Performance Analysis and Control(PAC) to reduce labor losses, Lean Production System(LPS) to reduce floor wastes, and Theory of Constraints(TOC) to minimize the problem of Capacity Constrained Resource(CCR). The study reviews the related literatures and reformulates the structure of machine losses, labor losses and field wastes. The research also develops the integrated productivity metrics according to time, units, reliability and maintainability. It is found that the study develops the actual productivity measure in terms of efficiency, effectiveness and standard productivity. In addition to that, it outlines and develops by using the integrated LPS and TPM, lean OEE measures such as Time Based Productivity(TBP), Unit Based Productivity(UBP), and Reliability & Maintainability Based Availability(RMBA). Implication examples are proposed to make it easier and available for practioners to understand the implementation strategies about TPM OEE, lean OEE and TOC OEE. Futhermore related to other studies, the research contributes to create a new chain productivity measures to clear the interrelationship concepts of productivity, efficiency and effectiveness. Moreover the paper develops the enhanced OEE measures by integration of TPM, PAC, LPS and TOC with the perspective of schedule, throughput, reliability, maintainability and availability.

• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.561-567
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• 2013

본 연구는 졸음운전의 지표로 예상되는 심전도의 LF/HF 비율이 효과적으로 졸음운전을 예측하는지를 검증하는 것이었다. 본 연구는 총 31명이 참가하였으며, 가상 운전 시뮬레이션 과제를 활용하여 진행하였다. 수면박탈이 운전 중 LF/HF 비율에 영향을 미치는지를 검증하기 위해 충분한 수면을 취한 조건과 수면이 박탈된 조건으로 실험을 실시하였다. 충분한 수면을 취한 조건에서 참가자는 전날 6시간 이상의 수면을 취한 후 30분동안 진행되는 가상 운전과제를 수행하였다. 수면이 박탈된 조건에서는 실험에 참여하기 전날에 참가자가 5시간 이하의 수면을 취하도록 유도한 후 60분 동안 진행되는 가상 운전 과제에 참여하도록 하였다. 참가자는 두 조건 모두에서 심전도를 측정할 수 있는 장비를 착용한 상태로 가상 운전 과제를 수행하였다. LF/HF 비율과 지각된 졸음운전과의 관계성을 확인하기 위해서 참가자가 가상 운전 과제를 수행하는 동안 10분간격으로 주관적 졸림정도를 측정하였다. 실험 결과 충분한 수면을 취한 조건보다 수면박탈 조건에서 참가자의 LF/HF 비율이 감소하였으며, 동일하게 주관적 졸림정도는 증가하였다. 또한 주관적 졸림정도가 LF/HF비율을 예측하는 것으로 나타났다. 따라서 LF/HF 비율을 통한 졸음 운전 예측은 타당한 것으로 나타났다.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.199-208
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• 2011

Environment standards can be used as a foundation of environment administration (specific expression of political goals or quantitative evaluation standards of political effects). When environment adminstration improves severe air or water pollution rapidly, the environment standard can work effectively to show the goals specifically and clearly. The environment index which is designed to evaluate environment systems, should be established to express the environment system generally. To realize sustainable development, the sustainable indexes usually consisting of these three areas in that harmony of environment, economy and society are required. In this research, sustainable environmental indicators to understand the characteristics and to compare likes theme of environmental conditions in international and national level indicators, regional environmental management plan to promote the management by objectives are to provide the basic data. It is desirable for the environmental policies to work harmoniously with direct control, use of economic means and voluntary methods. Regarding the evaluation of environmental index, the action results of civilian's or individual's activities are needed to be reflected into the evaluation.