• Proceedings of the Safety Management and Science Conference
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• 2004.05a
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• pp.1-4
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• 2004

Need safety diagnostic indicator pointer that is objective as estimation basis to be scientific and manages systematically safety existing condition and level for city gas facilities. Safety diagnostic indicator pointer can divide by greatly two. One is management (Software) side that one that differ with mechanical (Hardware) side that handle laying stress on equipment connected with safety manages organization and management connected with safety. Weight appropriates according to specific gravity that relevant element occupies in facilities. To give so big value in particular element in grant of weight pays attention because break balance of whole guideline and should gives. Finally, efficient safety net may see effect before self-regulation inside by minimum target establishment by government and legal, systematic countermeasure establishment for this, strict law application and each business proprietor and though activity and user's active safety activity forms harmony properly.

• Journal of the Korea Safety Management & Science
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• v.22 no.4
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• pp.1-8
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• 2020

In general, companies operate systematically in response to financial risks such as exchange rates and liquidity, while they are vulnerable to risks in the manufacturing and sales processes. In particular, logistics refers to the activities for planning, managing and implementing efficient flows from the starting point of goods and products to the point of consumption, The purpose of this study was to develop key risks and key risk management indicators (KRIs) for risks that undermine logistics efficiency so that logistics risks can be effectively prevented and managed. As a result, 40 risk management indicators (KRIs) were developed in a total of six categories in the logistics sector, and the definition, calculation method and early warning grade of each KRI were presented so that companies could prevent risks in advance in logistics activities and contribute to enhancing efficiency of their work.

• Journal of the Korean Institute of Gas
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• v.27 no.2
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• pp.16-24
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• 2023

ESG (environmental, social, governance) management is being introduced with the goal of sustainable development of the company in risk management, which identifies and judgement various risks that may occur in the industry. In the future, ESG evaluation will be used more as a value judgment tools for corporate sustainability. This ESG evaluation was used to manage the company's accident prevention level. Through morphological analysis of the current ESG evaluation system, it was found that the quantitative 'safety evaluation index' available in ESG was insufficient through analysis of safety evaluation items. In this study, domestic and foreign industrial accident data was analyzed, 'accident contributing factors' that required intensive management were derived, and major safety management items that needed supplementation were selected based on the results. ESG safety evaluation indicators were developed through the process of optimizing the selected items into evaluation factors suitable for 'accident prevention management'.

• Journal of the Korea Safety Management & Science
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• v.9 no.3
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• pp.49-54
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• 2007

신뢰성이란 단기간에 측정되는 성능과는 다른 지표로서 흔히 장기간에 걸쳐 평가되는 품질의 척도이다. Oil Cooler는 공작기계(machine tools)의 주축 및 구동부 등에서 발생하는 열 변형을 제어하는 장치로서 공작기계의 신뢰성 향상을 위해서는 oil cooler의 신뢰성 개선이 이루어져야 한다. 본 연구에서는 oil cooler의 신뢰성 개선을 위해 고장률 데이터베이스를 이용한 신뢰성 예측과 이를 통한 취약부품 분석을 실시하고 신뢰성 시험기를 통한 oil cooler의 신뢰성을 평가하였다. 이를 통해 oil cooler의 정량적 신뢰도를 계산하였으며 신뢰성호 향상을 위한 공정기법을 개발하여 적용하였다. Oil cooler의 신뢰성 개선을 통해 공작기계 및 반도체 제조 장비 등과 같은 제조 시스템의 신뢰성 향상을 기대할 수 있으며, 제안된 기법을 이용하여 다른 기계류 부품의 신뢰성 평가 및 개선에 적용할 수 있다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.477-480
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• 2000

오늘날 많은 제조업체 또는 물류업체는 물류의 효과적 수행을 위해 물류센터를 운영하고 있으며, 물류센터의 효과적 이용을 통한 물류문제 해결은 기업운영에 있어서 주요 해결과제 가운데 하나로 자리잡게 되었다. 이러한 물류센터를 운영하고 관리함에 있어서 물류센터의 전략적 의사결정과 투자계획의 수립을 위해 물류센터의 수행도 측정을 통한 정량적인 평가가 절대적으로 필요하게 되었다. 그러나 현재 기업물류활동을 평가하기 위한 여러가지 물류활동 측정지표들이 제시되고 있으나 물류센터들의 수행도 측정을 위해 체계적으로 정의화되고, 표준적으로 사용되는 유력한 정량적 평가방법이 아직 제시되어 있지 않다. 본 연구에서는 물류센터의 특성을 Cost(비용), Operation(설비운영). Quality(성과), Speed(속도), Flexibility(유연성), Safety(안전성)등 모두 여섯 가지로 구분하여 각각의 특성을 통해 물류센터를 정량적으로 평가한다. 이중 Safety(안전성)를 기본으로 삼고 나머지 주요인자들의 정량적 평가치 들을 통해 물류센터의 종합적인 수행도 평가 모델을 제시하였다. 물류센터의 운영평가는 궁극적인 공급체인관리망(SCM: Supply Chain Management)의 완성과 기업의 업무효율에 이바지하는 것이다.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.351-358
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• 2014

This study established the evaluation index system of green logistics of Changjitu in Chinarelated to environment, resource, economics and technology. It derived the weight value of indexes by using AHP method analyzing interviews logistics researchers and surveys. Based on the results, the paper described the problems of Changjitu's green logistics and proposed some development suggestions.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.221-228
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• 2012

This paper analyzed twenty-six production-related KPI(Key Performance indicator) factors of business diagnosis, such as personnel, equipment, materials, operations and quality affecting company business competition to 186 small machinery manufacturers in 2010. Also, we explained the concept of Business Positioning and divided research subjects into four Business Positioning Groups formed break-even point ratio & fixed cost ratio to sales and then we compared between the 4 groups using Logistic Regression analysis by SAS statistical software package. The objective of this study is two-fold. The first is to find out production-related KPI factor of superior Business Positioning Group. The second is to suggest improvement ways for small manufacturers in order to get better profitable Business Positioning.

• Proceedings of the Safety Management and Science Conference
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• 2013.04a
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• pp.687-692
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• 2013

In this paper, we provide application strategies of representative finance and investment metrics using breakdown properties of Return On Equity(ROE). The research discusses the relationship of ROE for finance and investment metrics such as Return On Asset(ROA), Return On Invested Capital(ROIC), Price Book Ratio(PBR), and Price Earning Ratio(PER). Furthermore, we provide three different perspectives of its purpose and utility of Residual Income(RI) Models, Market Value(MV) Models and Enterprise Value(EV) Models.

• Journal of the Korea Safety Management & Science
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• v.4 no.3
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• pp.157-166
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• 2002

With the introduction of the Internet in the 21st century, the manufacturing-oriented industry, so called EMS(Electronic Manufacturing Service) specialized in manufacturing only, is rapidly expanding. From the beginning of the year 2000, the EMS industry in advanced countries around the world, whereas a strong Motivation System in which a manufacturing related staff plays a main role, has began providing the source of competitiveness. And this industry is regarded as a core of management linking productivity directly to management performance. Thus, all the manufacturing sectors including not only the electronic industry but also mechanical industry in the future are observed to be divided into two industries; a Maker strategy industry focused on marketing and development, and a EMS industry specialized in manufacturing. Therefore, we need to evaluate whether the industries should continue to support the Manufacturers Strategy or attempt to change into the EMS industry However, with no approved evaluation standard on hand as to an actual EMS industry, in this thesis, we develop the EM(EMS-Maker) Chart in order to analyze both the Manufacturer Strategy and the EMS industries.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.41-47
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• 2022

A reliable prediction model of national occupational accident fatality rate can be used to evaluate level of safety and health protection for workers in a country. Moreover, the socio-economic aspects of occupational accidents can be identified through interpretation of a well-organized prediction model. In this paper, we propose a machine learning based relative comparison methods to predict and interpret a national occupational accident fatality rate based on socio-economic indicators. First, we collected 29 years of the relevant data from 11 developed countries. Second, we applied 4 types of machine learning regression models and evaluate their performance. Third, we interpret the contribution of each input variable using Shapley Additive Explanations(SHAP). As a result, Gradient Boosting Regressor showed the best predictive performance. We found that different patterns exist across countries in accordance with different socio-economic variables and occupational accident fatality rate.