• 대한안전경영과학회지
• /
• 제11권3호
• /
• pp.33-40
• /
• 2009

Steel and iron manufacture works exist that many latency risk as melting liquid of high temperature, work of high place, and so on. Once in a while, the accident case make use of basic data for latency risk analysis in a place of business. In this paper, we investigated the cause of the accident in steel an iron works. The result, we came across that many latency risk in steel and iron manufacture works. The main type of risk are fall, narrow, come flying, etc. Most of the latency risk type are repetition and conventional accident. Accordingly, steel and manufacture works must prevent to repetition and conventional accident.

• 해양환경안전학회지
• /
• 제23권3호
• /
• pp.287-293
• /
• 2017

The purpose of this study is to keep the safety of the car ferry passengers and vessels by investigating and analyzing vessel safety management systems in Korea and China. To this end, we investigated Korea-China car ferries and the current status and causes of global marine accidents corresponding to the sizes of the vessels from Korea and China. Furthermore, we investigated car ferries' crew management and safety management. As a result of the analysis of the ferry accident, the causes of human error and ship's age were the greatest, but the ship's companies showed a negative stance regarding the age restriction. It seems that it is necessary to utilize the near-miss accident reporting system and differentiate the management of ship's aging. Also, it was analyzed that both the ship company and the crew of the ship need to strengthen their awareness of safety management.

• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.94-102
• /
• 2022

Construction workers are engaged in many activities that may expose them to serious hazards, such as falling, unguarded machinery, or being struck by heavy construction equipment. Despite extensive research in building information modeling (BIM) for safety management, current approaches, detecting safety issues after design completion, may limit the opportunities to prevent predictable and potential accidents when decisions of building materials and systems are made. In this respect, this research proposes a proactive approach to detecting safety issues from the early design phase. This research aims to explore accident precursors and integrate them into BIM for tracking safety hazards during the design development process. Accident precursors can be identified from construction incident reports published by OSHA using a text mining technique. Through BIM-integrated accident precursors, construction safety hazards can be identified during the design phase. The results will contribute to supporting a successful transition from the design stage to the construction stage that considers a safe construction workplace. This will advance the body of knowledge about construction safety management by elucidating a hypothesis that safety hazards can be detected during the design phase involving decisions about materials, building elements, and equipment. In addition, the proactive approach will help the Architecture, Engineering and Construction (AEC) industry eliminate occupational safety hazards before near-miss situations appear on construction sites.

• 대한안전경영과학회지
• /
• 제17권4호
• /
• pp.105-112
• /
• 2015

Sawmilling industry remained a high risk with the average 4.73% of industrial accidents in 2010-2012 that was eight times that of general manufacturing. Sawmilling industry had 200 industrial accidents victim in average. Manufacturing process in sawmill industry contained dangerous machinery such as conveyors, roller, saw ( band saw, circular saw) etc. It may be effective to figure out the type of industrial accidents occurred in the past and extend risk assessment which can predict hazard such as near miss when implementing exposure or potential dangers in sawmill industry. This study conducted research on the actual condition on the place of industrial accident occurrence, detailed work and contact object when injured, and injured part targeting 643 businesses which had industrial accidents in 2010-2012. As the results, RPN of general sawmill industry was the highest 'ganglip saw' with 36,157. RPN of the following order were 'moving truck' with 25,454, 'special machining operations' with 22,283. Also, probability of general sawmill industry was a lots within 1 year, while risk appeared a lots within 5 years. So, risk assessment shall be needed to emphasis on accident prevention of sawmill industry. And additional work will be needed on the risk assessment in hazard prevention work of supervisors.

• 대한안전경영과학회지
• /
• 제17권3호
• /
• pp.173-183
• /
• 2015

The study conducted questionnaire analysis on 607 host company employee and 404 subcontractor employee in order to examine the difference in the safety culture cognition of host company and subcontractor. As a result, host company had higher recognition in all safety culture factors compare to that of subcontractor, and there were bigger gap of cognition in the 'cognition in safety status and culture', 'accident and near-miss', 'immediate superior's concentration degree in safety and health' than that of other cognition factors. Furthermore, team leaders showed the highest cognition in both host company and subcontractor, and employees with above 20 year career had the highest cognition in both host company and subcontractor. There is high relationship between host company and subcontractor in the correlations in safety culture cognition factors. Through this study, we identified the difference in the safety culture cognition factor of host company and subcontractor.

• Safety and Health at Work
• /
• 제15권2호
• /
• pp.139-146
• /
• 2024

Background: This research suggested a method for evaluating health and safety performance as a combination of reactive and active monitoring. Methods: A number of Freedom of Information requests (FoI) were sent to the Health and safety Executive (HSE) and 100 UK universities. Data on the number of reportable incidents, diseases and dangerous occurrences were compiled for UK universities and combined with the Impact Ranking for good health and well-being. A semi-structured survey was used to identify best H&S practices. Subsequently, the effect of workers' involvement in H&S management on RIDDOR and near-miss reports, was investigated using statistical analysis. Results: A ranking of UK universities that perform highly in Health and Safety (H&S) was assembled and selected universities were contacted to identify best practices. Best practices were divided into three categories: team management, roles and responsibilities, and H&S performance monitoring. One of the findings demonstrated a reverse dependence between provision of a refresher training in risk assessments and a number of reported RIDDOR incidents. Conclusion: Health and Safety professionals in the universities may find it useful to reflect on these findings and the identified best practices in order to improve the H&S performance in their own organisations.

• Safety and Health at Work
• /
• 제13권3호
• /
• pp.343-349
• /
• 2022

Background: In the United States, the dairy product manufacturing industry has consistently had higher rates of work-related nonfatal injuries and illnesses compared to the national average for industries in all sectors. The selection and implementation of appropriate safety performance indicators are important aspect of reducing risk within safety management systems. This study examined the leading safety indicators implemented in the dairy product-manufacturing sector (NAICS 3115) and their perceived effectiveness in reducing work-related injuries. Methods: Perceptions were collected from individuals with safety responsibilities in the dairy product manufacturing facilities. OSHA Incident Rate (OIR) and Days away, restricted and transferred (DART) rates from 2013 to 2018 were analyzed. Results: The perceived most effective leading were safety observations, stop work authority, near miss reporting, safety audits, preventative maintenance, safety inspections, safety training attendance, and job hazard analysis/safety analysis, respectively. The 6-year trend analysis showed that those implementing all eight top indicators had a slightly lower rates than those that did not implement all eight. Production focused mentality, poor training, and lack of management commitment were perceived as the leading causes of injuries in this industry. Conclusion: Collecting leading indicators with the unique interest to meet the regulatory requirements and to document the management system without the actual goal of using them as input to improve the system most probably will not lead to an effective reduction of negative safety outcomes. For leading indicators to be effective, they should be properly selected, executed, periodically evaluated and actions are taken when necessary.

• 한국컴퓨터정보학회논문지
• /
• 제26권7호
• /
• pp.65-73
• /
• 2021

본 연구의 목적은 간호대학생의 임상실습 경험에 따른 임상수행능력, 환자안전관리지식 및 환자안전관리 수행자신감의 차이를 비교하기 위함이다. 간호대학생 3학년을 대상으로 임상실습을 경험한 73명, 임상실습을 경험하지 못한 35명으로 총 108명 분석하였다. 분석방법으로는 동질성 검정은 X²-test, 두 그룹간의 차이비교는 independent t-test로 분석하였다. 연구결과로 두 그룹간의 임상수행능력(t=.88, p=.377), 환자안전관리지식(t=-.29, p=.773) 및 환자안전관리 수행자신감(t=1.11 p=.267)의 차이는 통계적으로 유의하지 않았다. 두 그룹에서 각 변수의 하위영역별 가장 점수가 낮은 항목을 살펴보면, 첫째, 임상수행능력에서는 간호과정에 대한 영역에서 대체로 점수가 낮았고, 둘째, 환자안전관리 지식은 근접오류에 대한 개념에 대한 지식 측정 영역에서 가장 낮았으며, 셋째, 환자안전관리 수행자신감에서는 오류 발생 시 사건 보고서 작성에 대한 수행 자신감 영역에서 점수가 가장 낮은 것으로 확인되었다. 따라서 간호대학생의 임상수행능력의 질적 향상을 위해서 임상실습교육환경 개선이 절실하게 요구되며, 간호대학생의 환자안전관리 역량 증진 및 환자안전관리에 대한 올바른 태도 함양을 위해 전략적인 교육지침의 개발이 필요하다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2023년도 학술발표회
• /
• pp.248-248
• /
• 2023

In recent years, the number of landslides in Korea has been increasing due to extreme weather events such as localized heavy rainfall and typhoons. Landslides often occur with debris flows, land subsidence, and earthquakes. They cause significant damage to life and property. 64% of Korea's land area is made up of mountains, the government wanted to predict landslides to reduce damage. In response, the Korea Forest Service has established a 'Landslide Information System' to predict the likelihood of landslides. This system selects a total of 13 landslide factors based on past landslide events. Using the LR technique (Logistic Regression) to predict the possibility of a landslide occurrence and the accuracy is known to be 0.75. However, most of the data used for learning in the current system is on landslides that occurred from 2005 to 2011, and it does not reflect recent typhoons or heavy rain. Therefore, in this study, we will apply a total of six machine learning techniques (KNN, LR, SVM, XGB, RF, GNB) to predict the occurrence of landslides based on the data of Inje, Gangwon-do, which was recently produced by the National Institute of Forest. To predict the occurrence of landslides, it is necessary to process converting landslide events and factors data into a suitable form for machine learning techniques through ArcGIS and Python. In addition, there is a large difference in the number of data between areas where landslides occurred or not. Therefore, the prediction was performed after correcting the unbalanced data using Tomek Links and Near Miss techniques. Moreover, to control unbalanced data, a model that reflects soil properties will use to remove absolute safe areas.