• Journal of the Korea Safety Management & Science
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• v.4 no.4
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• pp.15-26
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• 2002

The quantitative evaluation method of the safety management cost was suggested to prevent a gas accident as a major industrial accident. In a gas governor station, process risk assessments such as the fault tree analysis(FTA) and the consequence analysis were performed. Based on process risk assessments, potential accident costs were estimated and the cost-benefit analysis(CBA) was performed. From the cost-benefit analysis for five classification items of safety management cost, the order of the cost/benefit ratio was estimated.

• Journal of the Korea Safety Management & Science
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• v.5 no.3
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• pp.1-10
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• 2003

Accident analyses are used to identify common factors contributing to occupational accidents and to give recommendations for accident prevention. In this study we developed a human error analysis system that can be used easily at the industries. This accident analysis system can be used to develop accident prevention programs to reduce human initiated accidents.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.744-751
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• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.

• Journal of the Korean Society of Safety
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• v.28 no.6
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• pp.1-5
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• 2013

Notorious press machine bothers employers by causing so many industrial accidents which are mostly of caught-in or between type. In 2008, press machines caused 1665 cases of such type of accidents, which reached about 11% of all those. Even though various approaches has been adopted to prevent those press machine accidents, up to now, no one was found to be satisfactory. In this study, two kinds of companies, accident-occurred and accident-free by press machine, were surveyed to find out positive and negative factors for accidents prevention. 400 companies which experienced accidents in 2008 and 200 companies which did not experience accident at all during the same period were selected for this survey. Most of these companies are small companies that employ less than 50 employees. Even though small companies are exempted from legal obligations to have a safety management system for accident prevention, we surveyed about safety management systems of those companies because of its crucial importance for accident prevention including whether they appointed safety managers and various supervisors. Awareness and efforts for safety of employers and employees were also measured. Results were analysed by the method of cross tabulation analysis. Main findings of this study are as follows. Most accident-occurred companies did not appoint any safety manager or supervisor. While it is recommended that the workplace of high accident rate have a safety manager. In addition, as less employers' effort for safety was made in accident-occurred companies in order to prevent accidents during press processing, the author proposes an amendment to the relevant law. Finally, the most referred reason for the negligence of hazard is the cumbersomeness in installing safeguards.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.4
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• pp.393-401
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• 2022

Objectives: OHSMS, which was introduced by Serious Accident Punishment Act as a means for safety and health management at work place, but it is not effective according to recent statistical data. Therefore, I intend to compare the OHSMS regulations of SAPA based on ISO 45001, the international standard of OHSMS, and examine the differences and problems. Methods: The OHSMS regulation of Serious Accident Punishment Act was compared and analyzed using the content standard of ISO 45001, the international standard of OHSMS. The construction and operation aspects and differences in key concept definitions of OHSMS were analyzed in depth. Results: ISO 45001 aims to provide OHSMS with an autonomous framework to manage risks and opportunities in safety and health management, whereas Serious Accident Punishment Act aims for safety and health management through an interest and effort in safety and health management on the premise of legal responsibilities of corporations and CEO. As a result, comparing to ISO 45001 in construction and operation aspects and differences in key concept definitions of OHSMS, the OHSMS of Serious Accident Punishment Act do not cover the entire business in concept definition and construction. Conclusions: In order for Serious Accident Punishment Act to achieve its original purpose of preventing serious accidents through systemic safety and health management, it is necessary to correctly understand the contents of ISO 45001 and to revise the OHSMS regulations in a direction that can ensure predictability and feasibility.

• Safety and Health at Work
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• v.7 no.1
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• pp.38-42
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• 2016

Background: Truck driving is known as one of the occupations with the highest accident rate. This study investigates the characteristics of traffic collisions according to road types (expressway and rural road). Methods: Classifying 267 accidents into expressway and rural road, we analyzed them based on driver characteristics (age, working experience, size of employment), time characteristics (day of accident, time, weather), and accident characteristics (accident causes, accident locations, accident types, driving conditions). Results: When we compared the accidents by road conditions, no differences were found between the driver characteristics. However, from the accident characteristics, the injured person distributions were different by the road conditions. In particular, driving while drowsy is shown to be highly related with the accident characteristics. Conclusion: This study can be used as a guideline and a base line to develop a plan of action to prevent traffic accidents. It can also help to prepare formal regulations about a truck driver's vehicle maintenance and driving attitude for a precaution on road accidents.

• Journal of the Korean Society of Safety
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• v.29 no.6
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• pp.172-178
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• 2014

In terms of an accident management, the cases causing severe core damage need to be analyzed and arranged systematically for an easy access to the results since the Three Mile Island (TMI) accident. The objectives of this paper are to explain how to identify the plant response and cope with its vulnerabilities using the probabilistic safety assessment (PSA) quantified results and severe accident database SARDB(Severe Accident Risk Data Bank) based on sequences analysis results. Although PSA has been performed for the Korean Standard Power Plants (KSNPs), and that it considered the necessary sequences for an assessment of the containment integrity. The developed Database (DB) system includes a graphical display for a plant and equipment status, previous research results by a knowledge-based technique, and the expected plant behaviour. The plant model used in this paper is oriented to the cases of loss of coolant accident (LOCA) is be used as a training simulator for a severe accident management.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.221-230
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• 2017

Objective: The purpose of this study is to draw the accident prevention model using the signal detection theory, and to implement accident prevention program, based on a health promotion and support activities in a shipbuilding company. Background: Workers' health management is perceived important from the human resource management perspective, as well as from the personal perspective. Method: This study developed an accident prevention model by analyzing the correlation between 704 workers' health examination variables, and reviewed the verification of the model through a follow-up survey on the control variables and status of hazards targeting 650 workers for four years from 2007 to 2010. Also, a health promotion program was implemented targeting a production division to improve alcohol habits, smoking, musculoskeletal pain complaints and hearing control indices, which are the control variables of the model. Results: As a result of four years' implementation, the following effects were obtained: the days away from work fell 87.5%, and accident rate dropped 71.5% in 2010, respectively, compared to 2006, before the activity was implemented. Conclusion: This study shows that the accident prevention activities based on workers' health promotion activities are effective to prevent industrial accidents and injuries. Application: The research findings will serve as a practical guideline for establishing preventive measures in the shipbuilding company.

• Journal of the Korea Safety Management & Science
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• v.5 no.3
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• pp.11-20
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• 2003

An agriculture which is one of the national security industry, has recognized the importance. International country have attention to the automatization of machine for the improvement of agriculture. However, because of modernization of agriculture, the rate of accurrence about agriculture accident has increased dramatically. Especially the rate of accurence of agricultural accident is higher than the other industrial accident in the developed country. Because of these reasons, developed country has efforted to the agriculture system about safety. Australia law for the safety system of agriculture is very well and the rate of accident in the self-management agriculture is included in the statistics of industrial But The rate of accident in self-management agriculture is very higher In future we have to try new method about Agricuture Safety of Korea.

• Safety and Health at Work
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• v.10 no.1
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• pp.54-60
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• 2019

Background: Increasing the establishment of integrated management systems (IMSs) is done with the purpose of leaving traditional management methods and replacing them with modern management methods. Thus, the present study sought to analyze the events and investigate the impact of IMS on health and safety performance indices in an Iranian combined cycle power plants. Methods: This case study was conducted in 2012 in all units of the Yazd Combined Cycle Power Plant on accident victims before and after the implementation of IMS. For data analysis and prediction of indices after the implementation of IMS, descriptive statistics and Kolmogorov-Smirnov test, Chi-square, linear regression, and Cubic tests were conducted using SPSS software. Results: The number of people employed in the power plant in an 8-year period (2004-2011) was 1,189, and 287 cases of work-related accidents were recorded. The highest accident frequency rate and accident severity rate were in 2004 (32.65) and 2008 (209), respectively. Safe T-score reached to below -3 during 2010-2011. In addition, given the regression results, the relation between all predictor variables with outcomes was significant (p < 0.05), except for the variable $X^1$ belonging to the accident severity rate index. Conclusion: The implementation of safety programs especially that of IMS and its annual audits has had a significant impact on reducing accident indices and improving safety within the study period. Accordingly, health and safety management systems are appropriate tools for reducing accident rate, and the use of regression models and accident indices is also a suitable way for monitoring safety performance.