港口油品码头装卸作业人为失误风险评估

Linlin Lu, Lecai Liang, Yanhua Hu
{"title":"港口油品码头装卸作业人为失误风险评估","authors":"Linlin Lu, Lecai Liang, Yanhua Hu","doi":"10.4108/eai.17-6-2022.2322701","DOIUrl":null,"url":null,"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.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk Assessment of Human Error in Loading and Unloading Operations at Oil Terminal in Ports\",\"authors\":\"Linlin Lu, Lecai Liang, Yanhua Hu\",\"doi\":\"10.4108/eai.17-6-2022.2322701\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":156653,\"journal\":{\"name\":\"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China\",\"volume\":\"4 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4108/eai.17-6-2022.2322701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eai.17-6-2022.2322701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

-油站装卸作业需要大量的人工辅助操作,装卸作业事故大多是人为失误造成的。为了找出影响油站安全的人为错误模式,评价人为错误的风险程度,提出了一种结合模糊概率的CREAM方法。利用CREAM方法识别装卸作业的行为和人为错误模式,共识别出18种人为错误模式。针对人为失误概率难以获得准确统计数据的问题,采用模糊概率法计算了18种人为失误模式的人为失误概率。得出了各人为错误模式的风险等级和定量评价结果。通过与企业事故统计数据的比较,本文所提出的方法能够得到较为准确的评价结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Assessment of Human Error in Loading and Unloading Operations at Oil Terminal in Ports
— 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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信