A Human and Organisational Factors (HOFs) analysis method for marine casualties using HFACS-Maritime Accidents (HFACS-MA)

Chen, Shih-Tzung; Wall, Alan; Davies, Philip A.; Yang, Zaili; Wang, Jin; Chou, Yu-Hsin

doi:10.1016/j.ssci.2013.06.009

Cited by 184 publications

(144 citation statements)

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“…After its initial application in military aviation accidents analysis, several derived models have been designed for other domains such as the rail, mining and medicine industry. Adaptation to the maritime industry, has also been undertaken by several authors (Celik & Cebi, 2009;Chauvin, Lardjane, Morel, Clostermann, & Langard, 2013;Chen et al, 2013;Rothblum et al, 2002). The HFACS-MA model designed by Chen et al (2013) includes an additional level (Other factors), set above the organizational level, to address the legislation and political factors.…”

Section: The Hfacs Frameworkmentioning

confidence: 99%

“…Adaptation to the maritime industry, has also been undertaken by several authors (Celik & Cebi, 2009;Chauvin, Lardjane, Morel, Clostermann, & Langard, 2013;Chen et al, 2013;Rothblum et al, 2002). The HFACS-MA model designed by Chen et al (2013) includes an additional level (Other factors), set above the organizational level, to address the legislation and political factors. To perform the analysis of collisions at sea, Chauvin et al (2013) also made some adaptions to consider factors such as communication and BRM.…”

Section: The Hfacs Frameworkmentioning

confidence: 99%

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Development of a Behavioural Marker System for Rating Cadet’s Non-Technical Skills

et al. 2017

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Despite the adoption of crew resource management training for bridge teams over the last decades, the training is still heavily focussed on technical achievements. In an educational context, the situation is more problematical, since with requirement of developing the technical skills, there is a need to build and evaluate the non-technical skills of cadets with little experience in bridge team management. In parallel with the application of team leadership models, the Portuguese Naval Academy conducted a research to improve the development and assessment of non-technical skills in bridge simulators. This paper describes the method used to identify the key non-technical skills required for naval cadets and to develop a behavioural marker system for their measurement. A literature review of behavioural marker systems was supplemented with an analysis of interviews conducted with students and simulator instructors. Additionally, further analysis of Portuguese Navy accidents reports was made, applying the HFACS framework to identify the relevant nontechnical skills involved in the accidents. The resulting rating system covers five skill categories (leadership, situational awareness, communication, team work and decision making), each one with three rating elements. The framework is currently under evaluation tests in bridge simulators sessions, within an educational context.

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Section: The Hfacs Frameworkmentioning

confidence: 99%

Section: The Hfacs Frameworkmentioning

confidence: 99%

Development of a Behavioural Marker System for Rating Cadet’s Non-Technical Skills

et al. 2017

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“…1. The Human Factors Analysis and Classification System (HFACS) framework (Wiegmann and Shappell 2003)> Some researchers have tried to extend the original HFACS framework to overcome some limitations described above (Reinach and Viale 2006;Harris and Li 2011;Chen et al 2013 Modelling System (GEMS) to define the contents of errors within 'unsafe act' level. Second, it adopted Hawkins's SHEL model to define the categories within 'precondition for unsafe acts' level.…”

Section: Hfacs (Human Factors Analysis and Classification System)mentioning

confidence: 99%

A new approach to analysing human-related accidents by combined use of HFACS and activity theory-based method

2017

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(2017) A new approach to analysing human-related accidents by combined use of HFACS and activity theory-based method.Cognition, Technology and Work, 19 (4). pp. 759-783. ISSN 1435-5566 Final accepted version (with author's formatting)This version is available at: http://eprints.mdx.ac.uk/23629/ Copyright:Middlesex University Research Repository makes the University's research available electronically.Copyright and moral rights to this work are retained by the author and/or other copyright owners unless otherwise stated. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge.Works, including theses and research projects, may not be reproduced in any format or medium, or extensive quotations taken from them, or their content changed in any way, without first obtaining permission in writing from the copyright holder(s). They may not be sold or exploited commercially in any format or medium without the prior written permission of the copyright holder(s).Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. ABSTRACTThis study proposes a new method for modelling and analysing human-related accidents. It integrates HFACS (Human Factors Analysis and Classification System), which addresses most of the socio-technical system levels and offers a comprehensive failure taxonomy for analysing human errors, and AT (Activity Theory)-based approach, which provides an effective way for considering various contextual factors systematically in accident investigation. By combining them, the proposed method makes it more efficient to use the concepts and principles of AT. Additionally, it can help analysts use HFACS taxonomy more coherently to identify meaningful causal factors with a sound theoretical basis of human activities. Therefore, the proposed method can be effectively used to mitigate the limitations of traditional approaches to accident analysis, such as over-relying on a causality model and sticking to a root-cause, by making analysts look at an accident from a range of perspectives.To demonstrate the usefulness of the proposed method, we conducted a case study in nuclear power plants. Through the case study, we could confirm that it would be a useful method for modelling and analysing human-related accidents, enabling analysts to identify a plausible set of causal factors efficiently in a methodical consideration of contextual b...

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“…After further research, HFACS has been systematically and thoroughly applied in all types of accident evaluation and research. The system has been employed to maritime accidents, railway accidents, mining accidents, and hydropower projects [3][4][5][6][7]. These studies reveal that the HFACS framework for the description of accident risk factors has a high degree of reliability.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory

Zheng

Wang

Zhou

2017

Mathematical Problems in Engineering

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Hydropower project construction is a high-risk operation, where accidents occur frequently. Moreover, the factors leading to accidents are often human factors, so safety evaluation of these factors for the hydropower projects' work system is very significant. The Human Factors Analysis and Classification System (HFACS) framework is applied to build evaluation system. In the evaluation process, correlation analysis is used to form the intercriteria analysis matrix that helps the decision makers to build impact relation matrix. Factor weights are calculated by the Analytic Network Process (ANP). In the index value determination step, the evidence theory is used to eliminate the conflicts of three decision makers and the index values are then calculated. The faulty behavior risk (FBR) assessment value is finally obtained. The proposed method is practical and its applicability is proved by an example.

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A Human and Organisational Factors (HOFs) analysis method for marine casualties using HFACS-Maritime Accidents (HFACS-MA)

Cited by 184 publications

References 12 publications

Development of a Behavioural Marker System for Rating Cadet’s Non-Technical Skills

Development of a Behavioural Marker System for Rating Cadet’s Non-Technical Skills

A new approach to analysing human-related accidents by combined use of HFACS and activity theory-based method

A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory

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