Category Archives: Maritime Innovation and Research

Maritime Studies. Man Overboard. Denize Adam Düşmesi. Maritime Accident Investigation Reports. Maritime Research. IMO GISIS. Database. Veritabanı Oluşturulması. EU Project. TUBITAK. ITU Maritime Faculty. İTÜ Denizcilik Fakültesi. Maritime Accident Investigation, Casualty Investigation Code, Man Over Board (MOB), Lessons Learned, Database, Data Format, Report Forms. Root Cause Analysis. Root Cause Flow Charts. Collision Accidents. Analysis and assessment of ship collision accidents using Fault Tree and Multiple Correspondence Analysis. MCA. , Fault tree method, Multiple correspondence analysis, Collision Regulation, CollReg. Human Error. The results represent the cause statistics of the ship-to-ship collision accidents that occurred in the last 43 years. Considering the collision accident reports data, our results show %94,7 of collision accidents are related to human error.

A New Study Published in the Ocean Engineering Journal: “Analysis and assessment of ship collision accidents using Fault Tree and Multiple Correspondence Analysis”

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Journal Article:

Ocean Engineering, Volume 245, 1 February 2022, 110514

Hasan Ugurlu, Ismail Cicek, Analysis and assessment of ship collision accidents using Fault Tree and Multiple Correspondence Analysis, Ocean Engineering, Volume 245, 2022, 110514, ISSN 0029-8018,
https://doi.org/10.1016/j.oceaneng.2021.110514.
(https://www.sciencedirect.com/science/article/pii/S0029801821017923)

Authors

Hasan Uğurlu and Ismail Cicek

Highlights

• 513 ship collision accidents for all ship types, dated since 1977, were studied.
• 39 primary causes for collisions were examined with fault tree analysis.
• Importance and probability values for each primary cause are presented.
• Results indicate which COLREG Rules are violated the most.
• Recommendations are provided for reducing the potential collision accidents.

Abstract

Our research study indicates that, over the past few decades, the expected decrease in the number of maritime accidents has not occurred. The statistics show the collision and contact types of marine accidents have always been the most frequent. Primary causes that contribute to ship collisions were collected from 513 collision accidents reported since 1977, which is the date the Convention on the International Regulations for Preventing Collisions at Sea, 1972 (COLREGs) came into effect. The root causes of ship-to-ship collisions were determined statistically. Qualitative and quantitative analyses were carried out using the Fault Tree Analysis (FTA). This provided the probability and importance of the primary causes contributing to the ship collision accidents and defined minimal cut sets. Results show that the violation of the COLREG Rules is the most important and effective factor for collision accidents. Therefore, further analysis was conducted and the results showed which type of COLREG Rules mostly violated statistically. The primary causes were also examined by Multiple Correspondence Analysis, and it was determined that maneuvering and perception errors were the most effective factors in collision accidents. The results represent the cause statistics of the ship-to-ship collision accidents that occurred in the last 43 years. Considering the collision accident reports data, our results show %94,7 of collision accidents are related to human error.

Read more at Ocean Engieering journal…

Keywords

Maritime accidents, Ship collision, Fault tree method, Multiple correspondence analysis, Collision regulation, Human error

DOI: https://doi.org/10.1016/j.oceaneng.2021.110514

Why is this Paper Important?

The results represent the cause statistics of the ship-to-ship collision accidents that occurred in the last 43 years. Considering the collision accident reports data, our results show %94,7 of collision accidents are related to human error.

  • 513 ship collision accidents for all ship types, dated since 1977, were studied.
  • 39 primary causes for collisions were examined with fault tree analysis.
  • Importance and probability values for each primary cause are presented.
  • Results indicate which COLREG Rules are violated the most.
  • Recommendations are provided for reducing the potential collision accidents.
Maritime Studies. Man Overboard. Denize Adam Düşmesi. Maritime Accident Investigation Reports. Maritime Research. IMO GISIS. Database. Veritabanı Oluşturulması. EU Project. TUBITAK. ITU Maritime Faculty. İTÜ Denizcilik Fakültesi. Maritime Accident Investigation, Casualty Investigation Code, Man Over Board (MOB), Lessons Learned, Database, Data Format, Report Forms.

Maritime Investigation Reports Involving Man-Over-Board (MOB) Casualties: A Methodology for Evaluation Process

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Turkish Journal of Maritime and Marine Sciences, Vol: 5 No: 2 (2019) 141-170.

Authors

Orhan Gönel and İsmail Çiçek

Abstract

Flag states must issue their maritime investigation reports in accordance with the International Maritime Organization (IMO) circulars with the inclusion of ‘lessons learned’ items from recorded accidents or incidents. To identify the root cause of an event, there must be enough detail of information about the investigated event presented in reports. The information included in reports may help identifying the procedural deficiencies or technical challenges. Considering the Man-Over- Board (MOB) events as a sub group of maritime accident  nvestigations, authors systematically reviewed over 100 reports containing MOB events in this study.

In this study, reports are reviewed and major differences in formats as well as level and type of information are recorded. A systematic methodology for reviewing and reporting the overall information retrieved from maritime accident reports is presented. To cover all information from reviewed reports, 113 information items are identified. An associated standard form is developed for use in extracting information from all investigation reports. Enabling the data collected systematically from reports, issued by the world maritime accident reporting states and agencies, and successively populated into a database for overall analysis, this form is called “Maritime MOB Events Investigation Form (MEI Form)”. This paper presents the content of the MEI Form and demonstrates the methodology of use for retrieving, formatting and analyzing the information from the MOB investigation reports using case examples.

Click to see published paper for more reading.

Keywords

Maritime Accident Investigation, Casualty Investigation Code, Man Over Board (MOB), Lessons Learned, Database, Data Format, Report Forms.

Highlights

  • A Form was developed and proposed for use in accident investigations.
  • Using the form and entry into a database, maritime accident investigation data is digitized.
  • Statistical Data for MOB Events were obtained and presented.
  • results provide useful data for having lessons learned items.
  • Provides a methodology for root-cause of MOB events.
  • Lessons learnt process is automated.
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Artificial Intelligence in Maritime Industry

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Today, the use of more machinery reduces manpower, with the development of technology. Thus, the maritime sector leaves behind its old functioning. With the development of artificial intelligence, it is aimed to minimize human need and error on ships.

Japan-based Mitsui O.S.K. Lines (MOL) is partnering with Bearing, a Silicon Valley-based artificial intelligence technology startup, to increase efficiency in the shipping industry. Bearing company produces technology in the maritime sector based on the data collected globally. These AI-supported models, which contain navigational data for ships such as ship speed, trim, main engine operation, weather and sea conditions, allow metrics such as fuel consumption to be estimated with absolute accuracy, even without the ship’s design parameters. Apart from this, autonomous ships are also becoming common. In 2018, Rolls-Royce and Finnish ferry operator Finferries introduced a fully autonomous ferry called the Falco. The approximately 50 meters long ferry is designed to cover short distances. Another high-profile project is the Yara Birkeland, a container ship measuring 80 metres in length that is designed to transport fertiliser on autonomous journeys powered fully by electricity.

Such advances in technology are leading to revolutionary changes in the shipping industry. We must adapt to these changes and do our work with this in mind.

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