• Title/Summary/Keyword: Serious Industrial Accidents

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Disaster Reduction Plan through Forklift Accident Case Analysis (지게차 재해사례 분석을 통한 재해감소방안)

  • Young Min Park
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.173-183
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    • 2023
  • Purpose: In order to reduce industrial accidents caused by forklift trucks, it is actually necessary to analyze the causes of accidents. This study aims to present disaster prevention measures by analyzing accident cases by forklift accident type. Method: For the analysis of industrial accidents, including serious industrial accidents caused by forklifts from 2021 to 2022, accident statistics from the Korea Occupational Safety and Health Agency were used to analyze accidents in four types. Result: In the last two years, the total number of victims, including deaths and other serious injuries, was 2,559, which was 1,396 in 2021 and 1,163 in 2022. Disaster prevention measures were presented for industrial accidents by size and occurrence type of equipment that cause serious industrial accidents in which more than 1,000 people are injured annually. Conclusion: It is necessary to expand the number of workers subject to the forklift financial support project to less than 100. It is necessary to amend the proviso on boarding restrictions in Article 86, Paragraph 7 of the 「Regulations on Industrial Safety and Health Standards」. It is mandatory to install front and rear cameras. It is necessary to install driving-linked safety belts. It is necessary to install line beams obligatory. It is necessary to expand the subject of forklift special safety and health education to workplaces that have more than one forklift truck, and it is necessary to redesignate the training hours to 16 hours every year.

A Study on the Application of FRAM to PSM through the Analysis of Serious Industrial Accident in Non-routine Work (비정상 작업에서 발생한 중대산업사고 분석을 통한 FRAM의 PSM 활용 방안에 관한 연구)

  • Young-Gwan Kim;Jin-Woo Jung
    • Korean Chemical Engineering Research
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    • v.62 no.1
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    • pp.44-52
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    • 2024
  • PSM(process safety management), introduced for the purpose of managing complex chemical processes, has contributed to the prevention of chemical accidents, but has recently revealed its limitations. Recently, major industrial accidents have increased, and in particular, Serious Industrial Accidents have increased rapidly in non-routine works since 2020. It is time for an effective PSM operation plan. This study examined that FRAM can be effectively used in the PSM operation process by using FRAM (Functional Resonance Analysis Method), a useful technique for understanding and predicting human error and accident occurrence processes by modeling nonlinear and complex interactions, to analyze accident cases that occurred in non-routine works, and to further analyze the process of performing general PSM non-routine works.

영세 사업장의 산업재해 특성에 대한 연구

  • 김유창;이경태;권호영;이승열;김태봉
    • Proceedings of the ESK Conference
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    • 1997.10a
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    • pp.205-213
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    • 1997
  • The production activity by human is accompanied by various accidents which resulted in human and property loss. If information on these industrial accidents can be collected and analyzed for the purpose of preventing industrial accidents, we sill be able to get ride of inductrial accidents. The accidents which involved absence from work at least 4 days in small manufacturing factories were considered in this study. 84 accidents which occurred in 1996 were investigated. These accidents were analyzed in terms of employment sector, work period, cause of accident and form of acciednt. The accidents of small manufacturing factories are numerous and are often serious and worthy of greater attention than they have received. Successful strategies for accident prevention depend on effective analysis.

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An Evaluation of the Quantitative Risk of Plastic Process Manufacturing Industries by Means of the 4M Method

  • Lee, Dong-Ho;Kim, Jong-In
    • International Journal of Safety
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    • v.6 no.2
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    • pp.8-12
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    • 2007
  • This study includes a case study among plastic process manufacturing companies, based on which, the currently used 4M method is applied in terms of machine, media, man, and management, to conduct quantitative risk evaluation, and thus to contribute to reducing human and material loss as well as preventing accidents in industrial fields. The result of this study is analyzed based on the 4M-risk assessment to find out the hazardous risk elements, and the quantitative evaluation made it predictable the value of risk(frequency $\times$ intensity) in such classified levels as serious risk, critical risk, and intolerable risk. Further, Among the businesses with hazardous risk elements and high frequency of industrial disaster, risk analysis was conducted for each process, and as a result, 38 cases among 76, including those of serious risk, critical risk, and intolerable risk, were improved, and the risk was reduced. Besides, it is thought that with the engineering approach with 4M-Risk Assessment, the attempt to improve safety level contributes to prevention of accidents.

A Study of Metal Manufacturing Disaster Situation and Safety Consciousness (금속제조업 재해 현황과 안전의식에 관한 연구)

  • Chun, Kwanok;Lee, Sinbok;Rie, Dongho
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.429-438
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    • 2018
  • Recently, there has been a tendency for accidents occurring in manufacturing to lead to serious accidents and serious industrial accidents and to extend to community disasters. In accordance with the Third Plan (2015-2019) of the National Security Management Plan, the Safety Administration announces and promotes improvement measures to minimize industrial accidents and disasters. In the case of industrial accidents from KOSHA 2015 to 2017, the accident rate of the metal-related manufacturing industry is 1.57%, which is more than three times higher than the average 0.50% of all industries. As a result of investigating the causes of disasters, 72% of workers were found to be caused by unsafe behaviors. In addition, insecure behaviors are closely related to safety consciousness, and a survey on safety consciousness was conducted for workers in this field. Safety consciousness improvement has the affirmative effect on accident prevention and it is a factor to reduce accidents.

A Study on the Efficiency of Safety Manager in Construction Project Stage (건설공사 사업 단계별 안전관리자 수행업무 효율화에 관한 연구)

  • Kang, Sang-Hun;Park, Hyun-Jung;Kim, Dae-Young
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.212-213
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    • 2022
  • Recently, the construction industry is increasingly in need of securing safety rights due to repeated serious accident. Accordingly, the government enacted the "Serious accident Punishment Act" to strengthen punishment for serious accident and expand the scope of punishment. However, safety managers in the construction industry are still vulnerable to safety accidents due to the heavy workload. The purpose of this study is to increase the efficiency of performance tasks and reduce serious accidents in the construction industry through analysis of performance tasks by stages of construction projects. The tasks derived through domestic research and domestic and foreign system analysis were classified step by step to analyze the correlation between difficulty and preventive effect, and inefficient tasks were discovered and improved. This can be used as basic data for identifying safety management tasks and preparing effective safety prevention measures, and it is expected to be a preventive measure against industrial accidents in the construction industry by using it for efficient work reorganization by safety managers.

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A Study on tne Necessity of Using ESG to Prevent Accidents in the Chemical Industry (화학산업 사고 예방을 위한 ESG 활용 필요성 연구)

  • Cheolhee Yoon;Leesu Kim;Seungho Jung;Keun-won Lee
    • Journal of the Society of Disaster Information
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    • v.19 no.4
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    • pp.826-833
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    • 2023
  • Purpose: We suggest the need to utilize ESG in the safety field to prevent serious industrial accidents. Method: The Serious Accident Punishment Act, a strong serious accident prevention system, was reviewed through a review of previous research. And through comparative analysis of serious accident data from the United States and Korea, the main causes of accidents in the domestic chemical industry were derived. Result: It was determined that there was a need to induce voluntary safety management by companies through ESG management along with the Serious Accident Punishment Act, which aims to prevent corporate accidents. Through statistical analysis of accident data, it was confirmed that the scale of damage and number of deaths in domestic accidents was greater than in the United States. The reason was interpreted to be that there are many accidents caused by human causes in the country. Conclusion: In order to compensate for the lack of voluntariness in corporate safety management as well as the Serious Accident Punishment Act and encourage active safety management, the proportion of 'ESG safety evaluation' must be expanded. By using ESG as an indirect social sanction, we can expect companies to voluntarily and actively manage safety and expand safety investments in the safety field.

Implentation of a Model for Predicting the Distance between Hazardous Objects and Workers in the Workplace using YOLO-v4 (YOLO-v4를 활용한 작업장의 위험 객체와 작업자 간 거리 예측 모델의 구현)

  • Lee, Taejun;Cho, Minwoo;Kim, Hangil;Kim, Taekcheon;Jung, Heokyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.332-334
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    • 2021
  • As fatal accidents due to industrial accidents and deaths due to civil accidents were pointed out as social problems, the Act on Punishment of Serious Accidents Occurred in the Workplace was enacted to ensure the safety of citizens and to prevent serious accidents in advance. Effort is required. In this paper, we propose a distance prediction model in relation to the case where an operator is hit by heavy equipment such as a forklift. For the data, actual forklift trucks and workers roaming environments were directly captured by CCTV, and it was conducted based on the Euclidean distance. It is thought that it will be possible to learn YOLO-v4 by directly building a data-set at the industrial site, and then implement a model that predicts the distance and determines whether it is a dangerous situation, which can be used as basic data for a comprehensive risk situation judgment model.

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A Study on the Current Status and Problems of the Serious Accident Punishment Act (중대재해처벌법 현황과 문제점에 대한 고찰)

  • Kwon, Oh-yong
    • Journal of the Society of Disaster Information
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    • v.18 no.3
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    • pp.470-477
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    • 2022
  • Purpose: As the Act on Punishment of Serious Accidents came into effect in January 2022, it is becoming a big social issue in the labor and management circles. The purpose of this law is to analyze problems and suggest improvement plans so that the purpose of protecting lives and bodies by preventing major accidents can be met. Method: The main contents of the relevant law were identified, and the current application status of the currently enforced law and problems by law were analyzed. Result: Currently, more than 50 accidents have occurred and they have been classified as serious accidents, and no punishment has been imposed under the relevant laws. There are four major problems: 1) the issue of equity in the applied workplace, 2) the lack of clarity in some legal provisions, 3) the issue of entrusting the obligation to secure safety and health to private organizations, and 4) the issue of excessive punishment regulations. was analyzed as. Conclusion: As the law is in the early stages of enforcement, there are trials and errors, but revisions are necessary through the efforts of the labor and management circles to meet the establishment and purpose of the law.

Human Error Analysis in Press Task using Eye and Hand Movements (눈과 손 움직임을 이용한 프레스 작업에서 인간실수 분석)

  • 김유창
    • Journal of the Korea Safety Management & Science
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    • v.1 no.1
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    • pp.55-60
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    • 1999
  • Presses are very widely used in industrial and commercial companies and are often the source of serious accidents occurring during operation. In Korea, the press holds the first place in the industrial hazard machines for frequency of accidents. Most of the press accidents are due to the human error. Continuous recordings of eye and hand movements that included operating errors of five experienced subjects were made during the press operation. The results showed that significant differences were observed on eye fixation time, hand fixation time, and lead departure time between the operations that has errors and no errors. The result could be used as basic data to establish a guideline for preventing the accidents.

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