Journals / Journal of Eta Maritime Science / 2017 / Cilt: 5 - Sayı: 1

Ship Engine Room Casualty Analysis by Using Decision Tree Method

Karar Ağacı Metodu ile Gemi Makine Dairesi Kazalarının Analizi

Pages
59–68
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study aims to investigate engine room based casualties, frequency of each casualty type and main causes by using decision tree method

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Ships may encounter undesirable conditions during operations.
📊
Key Findings & Data:Casualty reports which were published in Australia, New Zealand, United Kingdom, Canada and United States until 2015 were examined and the probable causes and consequences of casualties were determined with their occurrence percentages.
💡
Conclusion & Impact:This study aims to investigate engine room based casualties, frequency of each casualty type and main causes by using decision tree method
🔬Design:Research Article
📍Scope:2015 Verileri
⚙️Variables:Domain Parameters

Abstract

Ships may encounter undesirable conditions during operations. In consequence of a casualty, fire, explosion, flooding, grounding, injury even death may occur. Besides, these results can be avoidable with precautions and preventive operating processes. In maritime transportation, casualties depend on various factors. These were listed as misuse of the engine equipment and tools, defective machinery or equipment, inadequacy of operational procedure and measure of safety and force majeure effects. Casualty reports which were published in Australia, New Zealand, United Kingdom, Canada and United States until 2015 were examined and the probable causes and consequences of casualties were determined with their occurrence percentages. In this study, 89 marine investigation reports regarding engine room casualties were analyzed. Casualty factors were analyzed with their frequency percentages and also their main causes were constructed. This study aims to investigate engine room based casualties, frequency of each casualty type and main causes by using decision tree method

Özet

Gemiler, operasyonları sırasında istenmeyen koşullar ve kazalarla karşılaşabilirler. Kaza sonucu gemilerde yangın, patlama, su alma, karaya oturma, yaralanma ve diğer hasarlar meydana gelebilir. Ancak, önlemler ve önleyici işlemler ile bu sonuçlar engellenebilir. Deniz taşımacılığında kaza sonucu ortaya çıkan kayıplar çeşitli faktörlere bağlıdır. Kazaya sebep olan faktörler, makine ve teçhizatının yanlış kullanımı veya arızalı olması, operasyonel prosedürlerin ve emniyet tedbirlerinin yetersizliği ve önlenemeyen mücbir sebeplerin ortaya çıkması olarak kabul edilebilir. Bu çalışmada, 2015 yılına kadar Avustralya, Yeni Zelanda, Birleşik Krallık, Kanada ve Amerika Birleşik Devletleri'nde yayınlanan kaza raporları incelenmiş ve makine dairesi ile ilgili 89 adet kazayı oluşturan faktörler, kazaların oluşum sıklıkları ve kök sebepleri belirlenmiştir. Bu çalışmanın amacı, incelenen makine dairesi kazalarının, oluşum sıklıkları ve kök sebeplerini, Karar Ağacı yöntemi kullanarak değerlendirmek ve literatürdeki boşluğu doldurmaktır

🔖

Cite This Article

SAATÇİOĞLU, Ö. Y., GÖKSU, B., YÜKSEL, O., GÜLMEZ, Y. (2017). Ship Engine Room Casualty Analysis by Using Decision Tree Method. Journal of Eta Maritime Science, Cilt: 5 - Sayı: 1, 59–68. https://ajindex.com/articles/190725

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. European Maritime Safety Agency. 2015, “Annual overview of marine casualties and incidents 2014”. www.emsa.europa. eu/
  2. International Maritime Organization, Resolution A.884. Amendments to the Code for the Investigation of Marine Casualties and Incidents. 02.11.2016. http://www.emsa.europa.eu/retro/ Docs/marine_casualties/resolution_ a884_21.pdf [3] Uğurlu, Ö. (2016). Analysis of fire and explosion accidents occuring in tankers transporting hazardous cargoes. International Journal of Industrual Ergonomics, 55:1-11
  3. Grazino A., Teixeira A.P. and Guedes Soares, C. (2016). Classification of human errors in grounding and collision accidents using the TRACEr taxonomy. Safety Science, 86: 245-257
  4. Akhtar, M.J and Utne, I.B (2014). Human fatigue’s effect on the risk of maritime groundings- A Bayesian Network modeling approach. Safety Science, 62:427-440
  5. Rahaman M. Islam M.R and Degiuli, N. (2015). Shipbuilding, 66(1):12-22
  6. Wang H., Hui J., Liang Y. (2013). Cause Mechanism Study to Human Factors in Maritime Accidents: Towards a Complex Systeö Brittleness Analysis approach. Social and Behavioral Sciences, 96:723- 727
  7. Bielic, T., Pero V. and Mohovic, R. (2010). Compacency- Major Cause of Maritime Causalties. Scientific Journal of Maritime Research, 24 (2): 247-260 [9] Akyuz E. (2017). A Marine accident analysing model to evaluate potential operational causes in cargo ships. Safety Science, 92 [10] Eliopoulou, E., Papanikolau, A, Diamantis, P. and Hamann, R. (2012). Analysis of tanker casualties after the Oil Pollution Act (USA, 1990). Journal of Engineering for the Maritime Enviorement, 226(4): 301-312
  8. Hakkinen, J.M. and Posti, A.l (2014). Review of Maritime Accidents Involving Chemicals- Special Focus on the Baltic Sea. International Journal on Marine Navigation safety of Sea Transportation, 8(2): 295-305
  9. Roberts, S.E. and Marlow, P.B. (2002). Casualties in dry bulk shipping (1963– 1996). Marine Policy, 26: 437-450
  10. Chauvin, C., Lardjane, S., Morel, G., Clostermann, J.P. and Langard, B. (2013). Human and organizational factors in maritime accidents: Analysis of collisions at sea using the HFACS. Accident Analysis and Prevention, 59: 26-37
  11. Pedersen, P.T. (2010). Review and application of ship collision and grounding analysis procedures. Marine Structures, 23: 241-262
  12. Barnett M.L. (2005). Searching for the Root Causes of Maritime Casualties– Individual Competence or Organisational Culture? WMU Journal of Mar