Affiliation:
1. College of Maritime Sciences, Korea Maritime and Ocean University, Busan 49112, Republic of Korea
2. Division of Navigation Convergence Studies, College of Maritime Sciences, Korea Maritime and Ocean University, Busan 49112, Republic of Korea
Abstract
The levels of informatization, automation, and intelligence are continuously improving; however, the risks associated with the increased design and operational complexity of ship systems are increasing. Large-scale ship accidents can occur for several reasons. Existing accident analysis methods that examine marine accidents from the perspective of causal one-to-one correspondence have limitations in systematically analyzing complex marine risks during cause identification for the prevention of similar accidents. This study focuses on a systematic causality analysis of the factors related to human error in marine accidents that may occur during the arrival and departure of mega container ships. In particular, a representative case of the Motor Vessel (MV) Milano Bridge crane contact accident at Busan New Port is considered. To explore the complex organizational–technical, human–technical, and organizational–human relationships relevant to this case, human factors (seafarer, pilot, etc.) that are closely related to the linked causes were analyzed using the functional resonance analysis method. This study aims to reduce human error and prevent marine accidents, including pilotage.
Funder
Ministry of Oceans and Fisheries, Republic of Korea
Core Technologies Development for advancement of LNG bunkering SIMOPs
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
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