• Title/Summary/Keyword: systematic accident analysis

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A Systematic Approach to Accident Scenario Analysis: Child Safety Seat Case Study (체계적 사고 시나리오 분석기법을 이용한 유아용 안전의자 사례연구)

  • Byun, Seong-Nam;Lee, Dong-Hoon
    • IE interfaces
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    • v.15 no.2
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    • pp.114-125
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    • 2002
  • The objective of this paper is to describe a systematic accident scenario analysis method(SASA) adept at creating accident scenarios for the design of safer products. This approach was inspired by the Quality Function Deployment(QFD) method, which is conventionally used in quality management. In this study, the QFD provides a formal and systematic scheme to devise accident scenarios while maintaining objectivity. SASA consists of three key stages to be broken down into a series of consecutive steps:(1) developing an accident analysis tableau,(2) devising the accident scenarios using the accident analysis tableau,(3) performing a feasibility test, a clustering process and a patterning process, and finally(4) performing quantitative evaluation of each accident scenario. The SASA was applied to a case study of child safety seats. The accident analysis tableau devised 2828(maximum) accident scenarios from all possible relationships between the hazard factors and situation characteristics. Among them, 270 scenarios were devised through the feasibility test and the clustering process. The patterning process reduced them to 29 patterns representative of all accident scenarios. Based on an intensive analysis of the accident patterns, design guidelines for a safer child safety seat were recommended. The implications of the study on the child safety seat case were then discussed.

Development of a Railway Accident Scenario Analysis Technique using a Preliminary Hazard Analysis(PHA) and a Quality Function Deployment(QFD) (예비위험분석기술(PHA)과 품질기능전개(QFD) 기법을 이용한 철도사고 시나리오 분석기술 개발)

  • Park Chan-Woo;Kwak Sang-Log;Wang Jong-Bae;Hong Seong-Ho;Park Joo-Nam
    • Proceedings of the KSR Conference
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    • 2005.05a
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    • pp.151-156
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    • 2005
  • The objective of this study is to devise an accident scenario analysis method adept at creating accident scenarios at the Preliminary Hazard Analysis(PHA) step of a hazard analysis for railway system. This approach was inspired by the Quality Function Deployment(QFD) method, which is conventionally used in quality management and was used at the systematic accident scenario analysis(SASA) for the design of safer products. In this study, the QFD provides a formal and systematic schema to devise accident scenarios while maintaining objective. The accident scenario analysis method first identifies the hazard factors that cause railway accidents and explains the situation characteristics surrounding the accident. This method includes a feasibility test, a clustering process and a pattering process for a clearer understanding of the accident situation. Since this method enables an accident scenario analysis method to be performed systematically as well as objectively, this method is useful in building better accident prevention strategies. Therefore, this study can serve to reduce railway accident and be an effective tool for a hazard analysis.

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The Gender Difference in the Occupational Hazards and Injuries of Cleaning Workers and Janitors

  • Choi, Chang Lyul
    • Journal of the Ergonomics Society of Korea
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    • v.36 no.5
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    • pp.411-420
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    • 2017
  • Objective: The purpose of this study is to analyze the accident characteristics according to the gender of the injured workers in building cleaning and to reflect them in the Industrial Accident Prevention Policy. Background: An analysis of industrial accidents is an essential process for establishing systematic industrial accident prevention measures. In order to establish industrial accident prevention measures for workers effectively, it is necessary to analyze accident characteristics by job type for workers who do the same work. Method: In this study, we analyzed the accident characteristics of 1,645 janitors who were approved of work-related injuries in 2015. We also analyzed the characteristics according to gender by dividing them into worker-related factors and accident-related factors. Results: The accidents caused to the janitors showed different characteristics according to gender, age, work experience, agency of accident, and distribution of original cause materials. In other words, 70.2% occurred to workers over 60 years old and 56.2% occurred to unskilled workers with less than a year of work experience. In the case of accident pattern, 79.1% occurred in tripping (slip) hazards, and 68.2% of accidents occurred on the floor (including the ground) and the stairs, indicating that the accident occurred most frequently during cleaning work on the floor or stairs. Conclusion and Application: The results of the study on the accident characteristics of the janitors can be used as basic data for systematic preventive measures against accidents occurring to the elderly female workers in the service industry.

Analysis of a Fire Accident during a Batch Reactor Cleaning with AcciMap, STAMP and FRAM (AcciMap, STAMP, FRAM을 이용한 반응기 세척 작업 중 화재 사고 분석)

  • Seo, Dong-Hyun;Bae, Gye wan;Choi, Yi-Rac;Han, Ou-Sup
    • Journal of the Korean Society of Safety
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    • v.36 no.4
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    • pp.62-70
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    • 2021
  • Representative systematic accident analysis methods proposed so far include AcciMap, STAMP, and FRAM. This study used these three techniques to analyze a fire accident case that occurred during routine manufacturing work in a domestic chemical plant and compared the results. The methods used different approaches to identify the cause of the accident, but they all highlighted similar causal factors. In addition to technical issues, the three accident analysis methods identified factors related to safety education, risk assessment, and the operation of the process safety management system, as well as management philosophy and company culture as problems. The AcciMap and STAMP models play complementary roles because they use hierarchical structures, while FRAM is more effective in analyses centered on human and organizational functions than in technical analyses.

A Study on the School Safety Accident Prevention Policy through Accident Case Analysis (사고사례 분석을 통한 학교안전사고 예방정책에 관한 연구)

  • Park, Sang-Keun;Yoon, Yong Gi
    • Journal of the Korean Institute of Educational Facilities
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    • v.22 no.5
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    • pp.11-22
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    • 2015
  • The purpose of this study is to suggest prevention policy by analyzing accident cases related with school facilities. The results of study are as follows: First, policy enforcement that follows disaster management process such as prevention, preparation, response and recovery is required for school safety policy. Second, in order to proceed with the effective safety policy through collection, analysis, interpretation of data and result monitoring against accident case, the systematic safety infrastructure such as injury surveillance system and the composition of policy consultative group among safety organizations should be established. Third, the school facilities should be installed and managed according to the safety design. Fourth, the systematic education is needed to done for the managers who are concerned with safety regarding the establishment of safety management plan for each school. Fifth, the evaluation and feedback system is required for the results of proceeding with safety policy.

Development of Accident Classification Model and Ontology for Effective Industrial Accident Analysis based on Textmining (효과적인 산업재해 분석을 위한 텍스트마이닝 기반의 사고 분류 모형과 온톨로지 개발)

  • Ahn, Gilseung;Seo, Minji;Hur, Sun
    • Journal of the Korean Society of Safety
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    • v.32 no.5
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    • pp.179-185
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    • 2017
  • Accident analysis is an essential process to make basic data for accident prevention. Most researches depend on survey data and accident statistics to analyze accidents, but these kinds of data are not sufficient for systematic and detailed analysis. We, in this paper, propose an accident classification model that extracts task type, original cause materials, accident type, and the number of deaths from accident reports. The classification model is a support vector machine (SVM) with word occurrence features, and these features are selected based on mutual information. Experiment shows that the proposed model can extract task type, original cause materials, accident type, and the number of deaths with almost 100% accuracy. We also develop an accident ontology to express the information extracted by the classification model. Finally, we illustrate how the proposed classification model and ontology effectively works for the accident analysis. The classification model and ontology are expected to effectively analyze various accidents.

Developing Improvement Plans for National Defense Safety Directive to Align with the Serious Accident Punishment Act

  • Jeong-Woo Han;Cho-Young Jung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.3
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    • pp.275-282
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    • 2024
  • To ensure a systematic and integrated approach to defense safety management, individual safety management regulations have been consolidated into the National Defense Safety Directive. However, despite being enacted after the enforcement of the Severe Accident Punishment Act, the National Defense Safety Directive does not incorporate the contents of the Serious Accident Punishment Act. This omission is likely to cause confusion in safety management. In this paper, a PDCA analysis of the Severe Accident Punishment Act and the National Defense Safety Directive was conducted to identify area for improvement and supplementation in the Directive. Chapter 3 proposes amendments to clearly define the scope and responsibilities of safety management, implement serious accident prevention measures and inspections, and establish the penalties for those involved. These amendments aim to ensure faithful compliance with the Severe Accident Punishment Act. Chapter 4 emphasizes the implementation and inspection of risk assessments to enhance the effectiveness of safety accident prevention and preparation, thereby ensuring the completeness of the PDCA cycle.

An analysis technology of hazard factors at railroad crossings (철도건널목에세 위험평가 접근기법)

  • 정성학;왕종배;홍선호
    • Proceedings of the Safety Management and Science Conference
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    • 2003.11a
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    • pp.75-80
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    • 2003
  • The objectives of this study is to achieved by the use of the conceptual approach and accident data bases to develop statistical accident analysis, effectiveness values, comparison analysis of statistical models to determine which variables are significantly related to accidents, human factor, and hazard factor analysis, all of which were used in the railroad crossing. The result from this approach applicable to the railroad crossing where systematic safety management criteria have been considered.

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Forensic Engineering Study on the Evaluation of the Structural Stability of the Mobile Crane Accident (차량크레인 전도 사고의 구조 안정성 평가에 관한 법공학적 연구)

  • Kim, Jong-Hyuk;Kim, Eui-Soo
    • Journal of the Korean Society of Safety
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    • v.28 no.3
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    • pp.11-17
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    • 2013
  • Forensic Engineering is the area covering the investigation of products, structures that fail to perform or do not function as intended, causing personal injury or damage to property. To investigate the mobile crane's overturn accident in terms of the forensic engineering, in this study, we identified the accident mobile crane's position and posture before accident by the analysis of the trace resulted by the contact between the outrigger and the ground, and the accident remodeling has been performed using CATIA modeling program in the basis of the accident mobile crane's position and posture information. The accident analysis has been performed by comparing this accident remodeling and the crane's specification, the table of the allowance load about the boom's length and the working radius. Through these studies, the safety accident that may occur in mobile crane can be minimized by performing specialized and systematic investigation of the accident cause in terms of the forensic engineering.

A Study on the Systematic Cause Analysis of Shipboard Fire Accident Case using STAMP Methodology

  • JeongMin Kim;HyeRi Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.207-215
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    • 2023
  • The ship system is complex and advanced, and the operation relationship between each element is very high. So it is necessary to approach it in terms of an overall and integrated system in addition to the traditional sequential approach of finding and removing the direct cause of the accident when analyzing the accident. In this study, it is analyzed the recent fire accidents on ships occurred the Korean terrestrial water using a STAMP methodology that is different from conventional accident analysis techniques. This analysis reviews a range of factors, including safety requirements to prevent fires in ships, inappropriate decisions and actions, situations, equipment defects, and recommendations derived from accident analysis results. Through a comprehensive approach to accident prevention using STAMP, alternative evaluations are presented at the component level within the entire system of ships, and they are systematically used for accident prevention and risk evaluation as well as simple accident analysis.