4.5 Article

Risk evaluation for oil tanker berthing and handling operations using the improved DEMATEL-ISM approach

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jlp.2023.105182

关键词

Oil terminal; Risk evaluation; Interpretive structural model (ISM); Random forest weighting (RFW); DEMATEL model

向作者/读者索取更多资源

This study identifies the risk factors of oil tanker berthing and handling operations through multiple methods, and reduces the impact of subjective weighting using machine learning algorithms and reliability analysis. The hierarchical relationship among factors is analyzed through the construction of an Interpretive Structural Model, and strategies to improve the safety management level are proposed.
The berthing and handling operation of oil tankers is an important task in the operation of oil ports. Therefore, it is crucial to identify the risk factors in the process of the berthing and handling operation of oil tankers, to explore the relationship between the influencing factors of the risk, and to find out the key factors that incur risk. In this paper, the risk factors of oil tankers' berthing and handling operations are identified through on-site investigation, interviews, questionnaire surveys and expert consultation. Aiming at the uncertainty of the weight of each risk index during oil tanker berthing and handling, a machine learning algorithm (i.e. Random Forest Weighting) is applied. In this sense, the reliability analysis is used to calculate the generalization error of expert scoring data, and the weight of each index of each evaluation item is obtained according to the minimum error rate, which reduces the impact of subjective weighting in the identification of cause-effect chain components. In order to examine the internal relationship among various factors, the Interpretive Structural Model (ISM) of risk factors is constructed. Furthermore, we analyse the hierarchical relationship between various factors, clarify the mechanism of risk generation, and propose strategies to improve the safety management level of oil tanker terminals. Results show that the used algorithm could identify the key risk factors in the risk oil tanker terminal operations, and provide more effective managerial recommendations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据