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


Gönel O. , Çiçek İ.

Turkish Journal of Maritime and Marine Sciences, vol.5, no.2, 2019 (Other Refereed National Journals)

  • Publication Type: Article / Article
  • Volume: 5 Issue: 2
  • Publication Date: 2019
  • Title of Journal : Turkish Journal of Maritime and Marine Sciences

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 recordedaccidents 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 investigations, 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 analysing the information from the MOB investigation reports using case examples. Benefits of collecting this data in a structured execution methodology as part of the BIG DATA project is shown.