지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.10
- 수록면
- 404 - 407 (4page)
이용수
초록· 키워드
오류제보하기
Objective: The aim of this study is to develop a human error classification framework for chemical facilities and to apply it to major industrial accidents in chemical facilities in Korea. Background: Human errors can be classified with various criteria such as human information processing procedure by which the error was caused, explicit form of the error behaviour, and the consequence of the error. Method: Three human error classification criteria was chosen to classify human errors in major industrial accidents in chemical facilities: active vs. latent errors, external (behavior-based) classification, and internal (information processing-based) classification. Major industrial accidents which occurred in chemical facilities in Korea from 1997 to 2011 were analysed. Results: A total of 177 human errors were identified from 85 accident cases, and classified using the three criteria. Conclusion: Change in the number of human errors and frequencies of related facilities and industries were analysed. Application: The results provide insight on the pattern of human errors related to major industrial accidents in chemical facilities. In addition, they suggest that the accident investigation protocol is need to be improved.
목차
ABSTRACT
1. Introduction
2. Human Error Classification Framework
3. Classification of Major IndustrialAccidents
4. Conclusion
References
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