Causal analysis of accidents at work in a shipyard complemented with bayesian nets modelling

B. Costa, C. Jacinto, A. P. Teixeira, C. Guedes Soares

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper analyses the causality of occupational accidents occurred in a Portuguese shipyard during two years, 2014 and 2015. The objective is to identify not only the immediate causes of the accidents, but also their underlying causal factors at the organizational level, aiming to identify opportunities for improvement and to reduce accident rates in the shipyard. A second objective of the paper is to explore a way of modelling, quantitatively, the system studied from the causation point of view (cause-to-effect relationships). The method for Recording, Investigation and Analysis of Accidents at Work (RIAAT) is adopted to achieve the first goal. A Bayesian Network model of the causal relationships and consequences of the occupational accidents is then developed and used to simulate and analyse quantitatively different scenarios. A tangible plan of action is proposed, in which three categories of preventive measures are suggested: Engineering, Training & Awareness and Management & Control measures.

Original languageEnglish
Title of host publicationProgress in Maritime Technology and Engineering - Proceedings of the 4th International Conference on Maritime Technology and Engineering, MARTECH 2018
EditorsC. Guedes Soares, T. A. Santos
PublisherCRC Press/Balkema
Pages421-430
Number of pages10
ISBN (Print)978-113858539-3
DOIs
Publication statusPublished - 18 May 2018
Event4th International Conference on Maritime Technology and Engineering, MARTECH 2018 - Lisbon, Portugal
Duration: 7 May 20189 May 2018

Conference

Conference4th International Conference on Maritime Technology and Engineering, MARTECH 2018
CountryPortugal
CityLisbon
Period7/05/189/05/18

Fingerprint

Shipyards
accident
Accidents
modeling
Bayesian networks
analysis
engineering

Keywords

  • Bayesian nets
  • Causal analysis
  • Shipyard
  • Accident analysis

Cite this

Costa, B., Jacinto, C., Teixeira, A. P., & Guedes Soares, C. (2018). Causal analysis of accidents at work in a shipyard complemented with bayesian nets modelling. In C. G. Soares, & T. A. Santos (Eds.), Progress in Maritime Technology and Engineering - Proceedings of the 4th International Conference on Maritime Technology and Engineering, MARTECH 2018 (pp. 421-430). CRC Press/Balkema. https://doi.org/10.1201/9780429505294-48
Costa, B. ; Jacinto, C. ; Teixeira, A. P. ; Guedes Soares, C. / Causal analysis of accidents at work in a shipyard complemented with bayesian nets modelling. Progress in Maritime Technology and Engineering - Proceedings of the 4th International Conference on Maritime Technology and Engineering, MARTECH 2018. editor / C. Guedes Soares ; T. A. Santos. CRC Press/Balkema, 2018. pp. 421-430
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abstract = "This paper analyses the causality of occupational accidents occurred in a Portuguese shipyard during two years, 2014 and 2015. The objective is to identify not only the immediate causes of the accidents, but also their underlying causal factors at the organizational level, aiming to identify opportunities for improvement and to reduce accident rates in the shipyard. A second objective of the paper is to explore a way of modelling, quantitatively, the system studied from the causation point of view (cause-to-effect relationships). The method for Recording, Investigation and Analysis of Accidents at Work (RIAAT) is adopted to achieve the first goal. A Bayesian Network model of the causal relationships and consequences of the occupational accidents is then developed and used to simulate and analyse quantitatively different scenarios. A tangible plan of action is proposed, in which three categories of preventive measures are suggested: Engineering, Training & Awareness and Management & Control measures.",
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note = "The authors are grateful to CENTEC for funding the study (Research Grant Ref. BL 342/2016), to GEP (the Cabinet of Strategy and Planning, of the Portuguese Ministry of Labour) for supplying national accident data, and to Paulo Martins and Vera Silva (Production and H&S Managers, respectively) for their collaboration and helpful support in the hosting institution.",
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Costa, B, Jacinto, C, Teixeira, AP & Guedes Soares, C 2018, Causal analysis of accidents at work in a shipyard complemented with bayesian nets modelling. in CG Soares & TA Santos (eds), Progress in Maritime Technology and Engineering - Proceedings of the 4th International Conference on Maritime Technology and Engineering, MARTECH 2018. CRC Press/Balkema, pp. 421-430, 4th International Conference on Maritime Technology and Engineering, MARTECH 2018, Lisbon, Portugal, 7/05/18. https://doi.org/10.1201/9780429505294-48

Causal analysis of accidents at work in a shipyard complemented with bayesian nets modelling. / Costa, B.; Jacinto, C.; Teixeira, A. P.; Guedes Soares, C.

Progress in Maritime Technology and Engineering - Proceedings of the 4th International Conference on Maritime Technology and Engineering, MARTECH 2018. ed. / C. Guedes Soares; T. A. Santos. CRC Press/Balkema, 2018. p. 421-430.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper analyses the causality of occupational accidents occurred in a Portuguese shipyard during two years, 2014 and 2015. The objective is to identify not only the immediate causes of the accidents, but also their underlying causal factors at the organizational level, aiming to identify opportunities for improvement and to reduce accident rates in the shipyard. A second objective of the paper is to explore a way of modelling, quantitatively, the system studied from the causation point of view (cause-to-effect relationships). The method for Recording, Investigation and Analysis of Accidents at Work (RIAAT) is adopted to achieve the first goal. A Bayesian Network model of the causal relationships and consequences of the occupational accidents is then developed and used to simulate and analyse quantitatively different scenarios. A tangible plan of action is proposed, in which three categories of preventive measures are suggested: Engineering, Training & Awareness and Management & Control measures.

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Costa B, Jacinto C, Teixeira AP, Guedes Soares C. Causal analysis of accidents at work in a shipyard complemented with bayesian nets modelling. In Soares CG, Santos TA, editors, Progress in Maritime Technology and Engineering - Proceedings of the 4th International Conference on Maritime Technology and Engineering, MARTECH 2018. CRC Press/Balkema. 2018. p. 421-430 https://doi.org/10.1201/9780429505294-48