Analysis of Human Errors in Industrial Incidents and Accidents for Improvement of Work Safety

Research output: Contribution to journalJournal article – Annual report year: 1984Researchpeer-review

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Analysis of Human Errors in Industrial Incidents and Accidents for Improvement of Work Safety. / Leplat, J.; Rasmussen, Jens.

In: Accident Analysis & Prevention, Vol. 16, No. 2, 1984, p. 77-88.

Research output: Contribution to journalJournal article – Annual report year: 1984Researchpeer-review

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@article{9221e0cace0e4b55978cfb181bbbb170,
title = "Analysis of Human Errors in Industrial Incidents and Accidents for Improvement of Work Safety",
abstract = "Methods for the analysis of work accidents are discussed, and a description is given of the use of a causal situation analysis in terms of a 'variation tree' in order to explain the course of events of the individual cases and to identify possible improvements. The difficulties in identifying 'causes' of accidents are discussed, and it is proposed to analyze accident reports with the specific aim of identifying the potential for future improvements rather than causes of past events. In contrast to traditional statistical analysis of work accident data, which typically give very general recommendations, the method proposed identifies very explicit countermeasures. Improvements require a change in human decisions during equipment design, work planning, or the execution itself. The use of a model of human behavior drawing a distinction between automated skill-based behavior, rule-based 'know-how' and knowledge-based analysis is proposed for identification of the human decisions which are most sensitive to improvements",
author = "J. Leplat and Jens Rasmussen",
year = "1984",
language = "English",
volume = "16",
pages = "77--88",
journal = "Accident Analysis & Prevention",
issn = "0001-4575",
publisher = "Elsevier Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Analysis of Human Errors in Industrial Incidents and Accidents for Improvement of Work Safety

AU - Leplat, J.

AU - Rasmussen, Jens

PY - 1984

Y1 - 1984

N2 - Methods for the analysis of work accidents are discussed, and a description is given of the use of a causal situation analysis in terms of a 'variation tree' in order to explain the course of events of the individual cases and to identify possible improvements. The difficulties in identifying 'causes' of accidents are discussed, and it is proposed to analyze accident reports with the specific aim of identifying the potential for future improvements rather than causes of past events. In contrast to traditional statistical analysis of work accident data, which typically give very general recommendations, the method proposed identifies very explicit countermeasures. Improvements require a change in human decisions during equipment design, work planning, or the execution itself. The use of a model of human behavior drawing a distinction between automated skill-based behavior, rule-based 'know-how' and knowledge-based analysis is proposed for identification of the human decisions which are most sensitive to improvements

AB - Methods for the analysis of work accidents are discussed, and a description is given of the use of a causal situation analysis in terms of a 'variation tree' in order to explain the course of events of the individual cases and to identify possible improvements. The difficulties in identifying 'causes' of accidents are discussed, and it is proposed to analyze accident reports with the specific aim of identifying the potential for future improvements rather than causes of past events. In contrast to traditional statistical analysis of work accident data, which typically give very general recommendations, the method proposed identifies very explicit countermeasures. Improvements require a change in human decisions during equipment design, work planning, or the execution itself. The use of a model of human behavior drawing a distinction between automated skill-based behavior, rule-based 'know-how' and knowledge-based analysis is proposed for identification of the human decisions which are most sensitive to improvements

M3 - Journal article

VL - 16

SP - 77

EP - 88

JO - Accident Analysis & Prevention

JF - Accident Analysis & Prevention

SN - 0001-4575

IS - 2

ER -