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This paper presents a set of methodologies for analysing accident investigation reports to enhance learning from past incidents. While these reports are primarily designed to prevent accident recurrence, they often overlook key contributing factors such as personal, organisational, and cultural influences—particularly leadership practices and potential mental health issues that may have played a role. Moreover, accident investigation reports vary in quality and do not always adhere to standardised frameworks, limiting their effectiveness. This paper proposes a novel approach to accident analysis, offering a structured method to distinguish whether an accident is crew-related or company-related - an essential differentiation, as these factors require distinct management and preventive measures. The study draws on findings from multiple recent projects, analysing over 1000 accident reports to develop a new taxonomy. This taxonomy aims to facilitate a more systematic approach to accident analysis while identifying management deficiencies and crew-related challenges, ultimately improving safety and operational practices.
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Tom
Strony
399--405
Opis fizyczny
Bibliogr. 9 poz., rys., tab.
Twórcy
autor
- Centre for Factories of the Future, Alingsås, Sweden
autor
- Technical University of Catalonia, Catalonia, Barcelona, Spain
autor
- Satakunta University of Applied Sciences, Pori, Finland
autor
- Maritime University of Szczecin, Poland
autor
- Centre for Factories of the Future, Alingsås, Sweden
autor
- Centre for Factories of the Future, Kenilworth, United Kingdom
autor
- Centre for Factories of the Future, Alingsås, Sweden
autor
- IDEC SA, Piraeus, Greece
Bibliografia
- [1] Projects M’aider, SURPASS and ACTs and ACT Plus https://www.marifuture.org/Publications/Papers/maider_maritime_aids_development_for_emergency_responses.pdf; https://www.marifuture.org/Publications/Papers/SURPASS_A_Response_to_the_Increasing_Automation_Failures_at_Sea_and_in_Ports.pdf; https://www.marifuture.org/Publications/Papers/surpass_short_course_programme_in_automatedsystems_in_shipping.pdf ; https://www.marifuture.org/Publications/Papers/April2019Paper.pdf.
- [2] Zachau J., (2023), Swedish Accident Investigation Authority, ‘Lessons Learned and Safety Issues Identified from the Analysis of Marine Safety Investigation Reports Submitted on 27th April 2023 by Sweden to Sub-committee (III 9/4) on Implementation of IMO Instruments, 9th Session, agenda item 4.
- [3] Ziarati R., et al. (2024), Safety at Sea and Maritime Environment Protection with Special References to Training Needs for the Emerging New Fuels, MT’24. 10th International Conference on Maritime Transport, Barcelona, June 5-7, 2024
- [4] De Melo Rodrguez, G., et al. (2024), Pareto Analysis of ISM Code Deficiencies, Proceedings of the International Association of Maritime Universities Conference, The 24rd IAMUC, Massachusetts Maritime Academy, 7-12 Oct 2024
- [5] Bains Simmons’ Behaviours Flowchart (2009) - https://www.raes-hfg.com/reports/21may09-Potential/21may09-baines.pdf
- [6] Karakasnaki, M., et al., (2018), ISM Code implementation: an investigation of safety issues in the shipping industry, World Maritime University, WMU Journal of Maritime Affairs, 17:461–474, CrossMark, 2018 - https://doi.org/10.1007/s13437-018-0153-4.
- [7] Horck, J., (2007), The ISM Code versus the STCW Convention-MET challenges convene, Proceedings of the 8th Annual General Assembly and conference of the International Association of Maritime Universities (IAMU)(AGA 8).
- [8] Stroeve, S., et al. (2023) Shield Human Factors Taxonomy and Database for Learning from Aviation and Maritime Safety Occurrences, Safety, MDPI 2023.
- [9] Ziarati, et al., (2020), PROMETHEAS Project – IMarEST 2020 Conference, Mental Health Data Research Hub for Seafarers, 2020 – https://marifuture.org/Publications/Papers/PROMETHEAS_Project_Mental_Health_Data_Research_Hub_for_Seafarers.pdf.
Uwagi
Pełne imiona podano na stronie internetowej czasopisma w "Authors in other databases."
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2fabe819-e6b6-49eb-a262-6d6a0d2bd59b
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