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A Framework for Computerized Human Error Analysis System - Focused on the Railway Industry

철도사고 인적오류 분석을 위한 지원시스템 프레임웍 설계

  • 신민주 (삼양 데이터 시스템 e-Biz 팀) ;
  • 백동현 (한양대학교 경상대학 경영학부) ;
  • 김동산 (KAIST 산업및시스템공학과) ;
  • 윤완철 (KAIST 산업및시스템공학과)
  • Published : 2008.09.01

Abstract

Human errors are now considered as the most significant source of accidents or incidents in large-scale systems such as aircraft, vessels, railway, and nuclear power plants. As 61% of the train accidents in Korea railway involving collisions, derailments and fires were caused by human errors, there is a strong need for a systematic research that can help to prevent human errors. Although domestic railway operating companies use a variety of methods for analyzing human errors, there is much room for improvement. Especially, because most of them are based on written papers, there is a definite need for a well-developed computerized system supporting human error analyzing tasks. The purpose of this study is to propose a framework for a computerized human error analysis system focused on the railway industry on the basis of human error analysis mechanism. The proposed framework consists of human error analysis (HEA) module, similar accident tracking (SAT) module, cause factor recommendation (CFR) module, cause factor management (CFM) module, and statistics (ST) module.

Keywords

References

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