Prediction of human error probabilitiy for officers during watchkeeping process under SLIM approach

ABSTRACT

Safety is the first priority for the maritime industry as it relates to the environment, human life, and the cargo carried. The human factor is vital as it critically impacts increasing safety on board. The human factor also has an essential place in watchkeeping operations on the bridge. At the same time, estimating human error has always been difficult, as data are difficult to obtain in the maritime industry. The Success Likelihood Index Method (SLIM) is often used in human error (HE) evaluation in the maritime industry, where it is difficult to obtain human error data. Therefore, this study aims to evaluate the human error (HE) probabilities in watchkeeping operations on the bridge by using the SLIM. In this study, the findings obtained from the SLIM method can also be used as a decision-making tool by all ship crews and ship management companies to minimise the possibility of human error occurring during the watchkeeping and increase the safety level on the board.

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No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Furkan Eyup Kizilay

Furkan Eyup Kizilay is a PhD student at Istanbul Technical University, Maritime Faculty, Department of Maritime Transportation and Management Engineering. He also received his Master's degree from ITU. Today, He works as a teacher in the ship management department of the Piri Reis Vocational and Technical Anatolian High School. Since he started his academic career, he has been interested in maritime education, human reliability, human error prediction. During his master's degree, he worked on the effect of distance education on maritime high schools.

Ozcan Arslan

Ozcan Arslan is professor at ITU and worked on several types of tankers, and he has still ‘Oceangoing Master’ license. He is managing numerous EU and national R&D projects He has several types of researches and publications about transportation safety, strategic management, human factors, accident analysis, accident investigation and root cause analysis. He is Dean of ITU Maritime Faculty and director of ITU Turkish Straits Maritime Research Center.

Emre Akyuz

Emre Akyuz is a Professor in Maritime Transportation Management Engineering and currently responsible for Head of Department at ITU. He has experienced with industrial works such as working on-board ships, ship chartering and brokering, ship operating. He conducted various international and national R&D projects. He published more than 90 scientific papers and proceedings in the field of maritime safety, human reliability, human error prediction, risk assessment, critical shipboard operations, maritime accident analysing and decision-making.

Tuba Kececi

Tuba Kececi is vice head of Maritime Transportation Management Engineering at Istanbul Technical University, Maritime Faculty. She received the BSc, MSc and PhD degrees from ITU. She worked as a project member responsible for simulation in dozens of industrial projects. In 2009, she was appointed as a research assistant at ITU and she is the first female mariner -academician in Turkey. She did research in Kobe University in 2009-2010 and Strathclyde University in 2013-2014.Main topics of her research interests are maritime transportation, maritime safety, accident analysis, root cause analysis, occupational health &safety, MCDM analysis.