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    Wyświetlanie 1-3 z 3
    Tytuł:
    Proposal of new measures for risk assessment in navigation – a case study of the M/V Cosco Busan accident
    Autorzy:
    Bošnjak, Rino
    Bukljaš, Mihaela
    Medić, Dario
    Vukša, Srđan
    Powiązania:
    https://bibliotekanauki.pl/articles/2033620.pdf
    Data publikacji:
    2021
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    marine accident
    sailing area
    navigational risk
    risk assessment
    suggesting measures
    marine accidents
    Opis:
    This study discusses the marine accident involving the Cosco Busan, the container ship that hit the base of the Delta Tower of the San Francisco-Oakland Bay Bridge in November 2007. An analysis of the elements resulting in the accident and its consequences has been carried out, followed by an analysis of the navigational risk using mathematical and tabular values. Mathematical values refer to the navigational risk in a specific sailing area, while tabular values refer to the navigational risk using a risk assessment. The main goal of this research was to identify and propose new measures that are correlated with a risk assessment. These measures should be applied in areas where an accident takes place so that future marine accidents can be reduced.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2021, 67 (139); 9-15
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Managing and Predicting Maritime and Off-shore Risk
    Autorzy:
    Duffey, R. B.
    Saull, J. W.
    Powiązania:
    https://bibliotekanauki.pl/articles/116703.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Maritime Risk
    Offshore Risk
    Marine Accidents
    Universal Learning Curve (ULC)
    risk assessment
    Human Failure
    Shipping Losses
    Managing Risk
    Opis:
    We wish to predict when an accident or tragedy will occur, and reduce the probability of its occurrence. Maritime accidents, just like all the other crashes and failures, are stochastic in their occurrence. They can seemingly occur as observed outcomes at any instant, without warning. They are due to a combination of human and technological system failures, working together in totally unexpected and/or undetected ways, occurring at some random moment. Massive show the cause is due to an unexpected combination or sequence of human, management, operational, design and training mistakes. Once we know what happened, we can fix the engineering or design failures, and try to obviate the human ones. We utilize reliability theory applied to humans, and show how the events rates and probability in shipping is related to other industries and events through the human involvement. We examine and apply the learning hypothesis to shipping losses and other events at sea, including example Case Studies stretching over some 200 years of: (a) merchant and fishing vessels; (b) oil spills and injuries in off-shore facilities; and (c) insurance claims, inspection rules and premiums. These include major losses and sinkings as well as the more everyday events and injuries. By using good practices and achieving a true learning environment, we can effectively defer the chance of an accident, but not indefinitely. Moreover, by watching our experience and monitoring our rate, understand and predict when we are climbing up the curve. Comparisons of the theory to all available human error data show a reasonable level of accord with the learning hypothesis. The results clearly demonstrate that the loss (human error) probability is dynamic, and may be predicted using the learning hypothesis. The future probability estimate is derivable from its unchanged prior value, based on learning, and thus the past frequency predicts the future probability. The implications for maritime activities is discussed and related to the latest work on managing risk, and the analysis of trends and safety indicators.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 2; 181-188
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methods of Vessel Casualty Process Assessment
    Autorzy:
    Soliwoda, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/115963.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    risk assessment
    Vessel Casualty
    Maritime Casualties
    Maritime Accidents
    Marine Incident, Catastrophe
    Root Mean Square Error (RMSE)
    Casualty Factors
    Opis:
    Maritime casualty is an event of considerable economic and social impact. For this reason, implemented the reporting systems of accidents at sea, and the Administration was obligated to establish a Commission of Maritime Accidents. On the basis of casualty analysis and reports are developed proposals preventing similar casualties in the future. However, there is no uniform evaluation system which check references of existing regulations and recommendations to the occurred casualties. This paper presents a method to evaluate the used methods of casualty prediction with respect to the real incident and catastrophe.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8, 2; 211-216
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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