Abstract
Maritime transportation is the key element of global trade in recent years. Moreover, container shipping companies aim to complete door-to-door cargo operation with lower costs and increased speed. Determination of delays and possible accidents play vital role on cargo transportation process in a container terminal. In this scope, 65 container terminal accident reports are evaluated with Fuzzy C-means method to cluster within scope of root cause analysis. Three, four, and five number of clusters are created to determine possible causes of accidents. Two container terminals located in Turkey have diverse cargo operation capacity such as mobile and quay cranes. Accident cases are grouped in the view of relation of operations as cargo and port. Port related accidents are found mainly as related with maintenance processes. and occurred in weekdays. On the other hand, cargo related accidents occurred in weekends and during night shifts. In this scope, the results revealed that Fuzzy C-Means method could be used to analyse container terminal accidents.
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