基于Fram模型的船舶交通管理风险方法

Adem Viran, Ayhan Mentes
{"title":"基于Fram模型的船舶交通管理风险方法","authors":"Adem Viran, Ayhan Mentes","doi":"10.1115/1.4063594","DOIUrl":null,"url":null,"abstract":"Abstract This study analyzes the risks in ship traffic services management using the functional resonance analysis method (FRAM), a novel approach that focuses on identifying interactions leading to performance variability rather than errors. The research area is the Turkish Straits vessel traffic service management (VTSM) region, known for frequent risky ship passages. The goal is to ensure safe VTSM, minimize the negative impacts on people, goods, and the environment. The daily routine functions of the VTSM, determined through consultations with vessel traffic operators (VTOs), are explained by following FRAM analysis principles. Qualitative methods, aligned with expert opinions, are used to examine potential performance variabilities and hazard factors. The resulting risk situation for each function is categorized by criticality on a color-coded scale. Solution proposals are provided to manage critical function variability, enhancing the VTSM system's responsiveness and adaptability.","PeriodicalId":44694,"journal":{"name":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk Approach Based On the Fram Model for Vessel Traffic Management\",\"authors\":\"Adem Viran, Ayhan Mentes\",\"doi\":\"10.1115/1.4063594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This study analyzes the risks in ship traffic services management using the functional resonance analysis method (FRAM), a novel approach that focuses on identifying interactions leading to performance variability rather than errors. The research area is the Turkish Straits vessel traffic service management (VTSM) region, known for frequent risky ship passages. The goal is to ensure safe VTSM, minimize the negative impacts on people, goods, and the environment. The daily routine functions of the VTSM, determined through consultations with vessel traffic operators (VTOs), are explained by following FRAM analysis principles. Qualitative methods, aligned with expert opinions, are used to examine potential performance variabilities and hazard factors. The resulting risk situation for each function is categorized by criticality on a color-coded scale. Solution proposals are provided to manage critical function variability, enhancing the VTSM system's responsiveness and adaptability.\",\"PeriodicalId\":44694,\"journal\":{\"name\":\"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4063594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B-Mechanical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4063594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

本研究使用功能共振分析方法(FRAM)分析船舶交通服务管理中的风险,这是一种新颖的方法,侧重于识别导致性能变化而不是错误的相互作用。研究区域是土耳其海峡船舶交通服务管理(vttsm)区域,该区域以频繁的危险船舶通道而闻名。目标是确保安全的VTSM,最大限度地减少对人员,货物和环境的负面影响。VTSM的日常功能是经谘询船舶交通营办商后确定的,并以FRAM分析原则解释。定性的方法,与专家意见一致,用于检查潜在的性能变化和危险因素。每个功能产生的风险情况按临界程度以颜色编码的刻度进行分类。提出了管理关键功能变异性的解决方案,提高了VTSM系统的响应能力和适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Risk Approach Based On the Fram Model for Vessel Traffic Management
Abstract This study analyzes the risks in ship traffic services management using the functional resonance analysis method (FRAM), a novel approach that focuses on identifying interactions leading to performance variability rather than errors. The research area is the Turkish Straits vessel traffic service management (VTSM) region, known for frequent risky ship passages. The goal is to ensure safe VTSM, minimize the negative impacts on people, goods, and the environment. The daily routine functions of the VTSM, determined through consultations with vessel traffic operators (VTOs), are explained by following FRAM analysis principles. Qualitative methods, aligned with expert opinions, are used to examine potential performance variabilities and hazard factors. The resulting risk situation for each function is categorized by criticality on a color-coded scale. Solution proposals are provided to manage critical function variability, enhancing the VTSM system's responsiveness and adaptability.
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
CiteScore
5.20
自引率
13.60%
发文量
34
期刊最新文献
Verification and Validation of Rotating Machinery Using Digital Twin Risk Approach Based On the Fram Model for Vessel Traffic Management A Fault Detection Framework Based On Data-driven Digital Shadows Domain Adaptation Of Population-Based Of Bolted Joint Structures For Loss Detection Of Tightening Torque Human-Comfort Evaluation for A Patient-Transfer Robot through A Human-Robot Mechanical Model
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1