A sequential method to identify underlying causes from industrial accidents reported to the MARS database
(2009) In Journal of Loss Prevention in the Process Industries 22(2). p.197-203- Abstract
- This paper presents a method designed to identify underlying causes leading to industrial accidents. The method developed intends to facilitate the learning process from accidents by identifying possible causes related to the accidents that were not directly stated in an accident report, but that can be deduced following the description of the event, in particular with regard to the quality of the safety management systems in place at the industrial establishment at the time of the accident. The method has been prepared following a sequential approach, although a combination of the philosophy behind other existing accident models has been taken into consideration. The starting point to develop the model is the causes for accidents included... (More)
- This paper presents a method designed to identify underlying causes leading to industrial accidents. The method developed intends to facilitate the learning process from accidents by identifying possible causes related to the accidents that were not directly stated in an accident report, but that can be deduced following the description of the event, in particular with regard to the quality of the safety management systems in place at the industrial establishment at the time of the accident. The method has been prepared following a sequential approach, although a combination of the philosophy behind other existing accident models has been taken into consideration. The starting point to develop the model is the causes for accidents included in the MARS database of the European Commission. These causes have been extended by considering typical operational or organisational failures that are normally related to the original reported cause. The extension of causes has been performed by adding three follow-on levels of possible underlying causes. The first level could be considered as a direct cause of the accident and, the last level being more applicable to the foundation of establishing safety: "Safety Management System or the Safety Culture". In order to check the applicability of the method developed, it has been validated by a group of experts of the European Federation of Chemical Engineering, in order to reinforce the strategy adopted by the authors. Moreover, the method has been used to analyse the total set of accidents reported to the MARS database. The objective is to determine the efficiency of the method in identifying underlying causes, and to establish a link between the results obtained and the actual causes stated in the reports. In this way, it is possible to establish a system to go deeper into the analysis of past accidents, in order to obtain lessons learned, and to avoid recurrence of similar accidental scenarios in the future, as well as to give directions for a better reporting system of industrial accidents. (C) 2009 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1401015
- author
- Jacobsson, Anders LU ; Sales, Jaime and Mushtaq, Fesil
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- analysis, Causation, Accident analysis, Learning lessons, Major accidents, MARS, Underlying causes
- in
- Journal of Loss Prevention in the Process Industries
- volume
- 22
- issue
- 2
- pages
- 197 - 203
- publisher
- Elsevier
- external identifiers
-
- wos:000264732800011
- scopus:61349181865
- ISSN
- 0950-4230
- DOI
- 10.1016/j.jlp.2008.12.009
- language
- English
- LU publication?
- yes
- id
- a094f16f-34e8-4c70-9949-42993788fd3b (old id 1401015)
- date added to LUP
- 2016-04-01 13:34:46
- date last changed
- 2022-02-26 21:58:05
@article{a094f16f-34e8-4c70-9949-42993788fd3b,
abstract = {{This paper presents a method designed to identify underlying causes leading to industrial accidents. The method developed intends to facilitate the learning process from accidents by identifying possible causes related to the accidents that were not directly stated in an accident report, but that can be deduced following the description of the event, in particular with regard to the quality of the safety management systems in place at the industrial establishment at the time of the accident. The method has been prepared following a sequential approach, although a combination of the philosophy behind other existing accident models has been taken into consideration. The starting point to develop the model is the causes for accidents included in the MARS database of the European Commission. These causes have been extended by considering typical operational or organisational failures that are normally related to the original reported cause. The extension of causes has been performed by adding three follow-on levels of possible underlying causes. The first level could be considered as a direct cause of the accident and, the last level being more applicable to the foundation of establishing safety: "Safety Management System or the Safety Culture". In order to check the applicability of the method developed, it has been validated by a group of experts of the European Federation of Chemical Engineering, in order to reinforce the strategy adopted by the authors. Moreover, the method has been used to analyse the total set of accidents reported to the MARS database. The objective is to determine the efficiency of the method in identifying underlying causes, and to establish a link between the results obtained and the actual causes stated in the reports. In this way, it is possible to establish a system to go deeper into the analysis of past accidents, in order to obtain lessons learned, and to avoid recurrence of similar accidental scenarios in the future, as well as to give directions for a better reporting system of industrial accidents. (C) 2009 Elsevier Ltd. All rights reserved.}},
author = {{Jacobsson, Anders and Sales, Jaime and Mushtaq, Fesil}},
issn = {{0950-4230}},
keywords = {{analysis; Causation; Accident analysis; Learning lessons; Major accidents; MARS; Underlying causes}},
language = {{eng}},
number = {{2}},
pages = {{197--203}},
publisher = {{Elsevier}},
series = {{Journal of Loss Prevention in the Process Industries}},
title = {{A sequential method to identify underlying causes from industrial accidents reported to the MARS database}},
url = {{http://dx.doi.org/10.1016/j.jlp.2008.12.009}},
doi = {{10.1016/j.jlp.2008.12.009}},
volume = {{22}},
year = {{2009}},
}