Risk Assessment of Human Error in Loading and Unloading Operations at Oil Terminal in Ports

Abstract

A large number of manual auxiliary operations are needed in the loading and unloading operations at oil terminal, and most accidents of loading and unloading operations are caused by human error. In order to find out the human error modes that affect the safety of oil terminal and evaluate the risk level of human error, a method of CREAM combining with fuzzy probability was proposed in this paper. 18 human error modes are identified in total by using the CREAM method to identify the behaviors and human error modes of the loading and unloading operations. Aiming at the problem that it is difficult to obtain accurate statistical data for human error probability, the human error probabilities of 18 human error modes are calculated by using fuzzy probability method. Besides, the risk level of each human error mode and the quantitative evaluation results are obtained. Compared with the statistical data of enterprise accidents, the method proposed in this paper can get accurate evaluation results.