Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322701,
        author={Linlin  LU and Lecai  Liang and Yanhua  HU},
        title={Risk Assessment of Human Error in Loading and Unloading Operations at Oil Terminal in Ports},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={component; ports oil terminal human errors cream},
        doi={10.4108/eai.17-6-2022.2322701}
    }
    
  • Linlin LU
    Lecai Liang
    Yanhua HU
    Year: 2022
    Risk Assessment of Human Error in Loading and Unloading Operations at Oil Terminal in Ports
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322701
Linlin LU1, Lecai Liang2,*, Yanhua HU1
  • 1: Tianjin Research Institute for Water Transportation Engineering
  • 2: Tianjin Port Petrochemical Terminal Co., Ltd.
*Contact email: lianglecai@163.com

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.