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산업재해통계기반 Risk 산정에 관한 연구

A Case Study on the Estimation of the Risk based on Statistics

  • 우종권 (한국교통대학교 안전공학과) ;
  • 이미정 (한국교통대학교 안전공학과) ;
  • 설문수 (숭실대학교 안전.보건융학공학과) ;
  • 백종배 (한국교통대학교 안전공학과)
  • Woo, Jong-Gwon (Department of Safety Engineering, Korea National University of Transportation) ;
  • Lee, Mi-Jeong (Department of Safety Engineering, Korea National University of Transportation) ;
  • Seol, Mun-Su (Department of Safety and Health Convergence Engineering, Soongsil Universitㅛ) ;
  • Baek, Jong-Bae (Department of Safety Engineering, Korea National University of Transportation)
  • 투고 : 2021.07.06
  • 심사 : 2021.08.24
  • 발행 : 2021.08.31

초록

Risk assessment techniques are processes used to evaluate hazardous risk factors in construction sites, facilities, raw materials, machinery, and equipment, and to estimate the size of risk that could lead to injury or disease, and establish countermeasures. The most important thing in assessing risk is calculating the size of the risk. If the size of the risk cannot be calculated objectively and quantitatively, all members who participated in the evaluation would passively engage in establishing and implementing appropriate measures. Therefore, this study focused on predicting accidents that are expected to occur in the future based on past occupational accident statistics, and quantifying the size of the risk in an overview. The technique employed in this study differs from other risk assessment techniques in that the subjective elements of evaluators were excluded as much as possible by utilizing past occupational accident statistics. This study aims to calculate the size of the risk, regardless of evaluators, such as a manager, supervisor, safety manager, or employee. The size of the risk is the combination of the likelihood and severity of an accident. In this study, the likelihood of an accident was evaluated using the theory of Bud Accident Chainability, and the severity of an accident was calculated using the occupational accident statistics over the past five years according to the accident classification by the International Labor Organization.

키워드

참고문헌

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