Deficiency Analysis Identified in PSC Inspections Using Event Tree Analysis

Abstract

In the study, PSC inspections data performed in Paris MoU between the years 2016 and 2020 were analysed with the purpose of providing reasonable decision supports for key stakeholders such as ship operators, national and international authorities, cargo owners and classification societies in terms of enhancing safety on board ship and minimizing sub-standard ships in maritime transport. The probabilistic analysis is conducted with the help of Event Tree Analysis (ETA) method on deficiency risk areas respect to the number of deficiencies in each area. In the analysis, the deficiency risk areas are prioritized respect to the different combination of ship type and ship age. In the analysis made on the inspections data, it was found that the number of deficiencies detected under each relevant main item (deficiency risk areas) show significant variation for type of ship and age of ship. With the conducted analysis, in the study, it is aimed to contribute to the more effective inspection by focusing on certain deficiency risk areas in line with the ship type and ship age in the ship inspections.

Systematic Analysis of Multi-Source Inspection Database via Ship Smart Audit System

“…Hänninen and Kujala (2014) developed a safety management model, supported with BN-NPC, which links the encountered deficiencies to accident data to identify opportunities for safety improvement (Hänninen and Kujala, 2014). In the literature, there are also more advanced studies (Zhang and Thai, 2016;Ventikos, Sotiralis, and Drakakis, 2018;Demirci and Cicek, 2022) on the use of the inspection findings in prediction. The studies (Celik and Cebi, 2009;Akyuz and Celik, 2014;Soner et al, 2015), investigating accidents and deficiency reports, recommend solutions from the human factor perspective.…”