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

Abstract

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.