基于多准则决策的完整性缓解优先级排序

Mahsa Mehranfar, Juan Mejia, S. Hassanien, James Martin
{"title":"基于多准则决策的完整性缓解优先级排序","authors":"Mahsa Mehranfar, Juan Mejia, S. Hassanien, James Martin","doi":"10.1115/pvp2019-93621","DOIUrl":null,"url":null,"abstract":"\n In-line Inspection (ILI) tools are regularly used for inspecting transmission pipelines. However, it is challenging to use such technology for a large portion of pipes; e.g. terminals and pumping stations, because of diameter changes, tight turns, or other pipe/inspection characteristics. Non-contact pipeline magnetic testing (NPMT) is a well-suited technique to inspect potentially non-ILI pipes. This paper presents a new framework for selecting and prioritizing digs-based LSM high severity features. A multi-criteria decision-making approach was developed using pair-wise comparisons which stems from the Analytical Hierarchy Process (AHP). AHP is a structured technique for organizing and analyzing complex decisions to help the decision maker set priorities and make the best decision given available information. In addition to the application of AHP, a cost benefit analysis and evaluation of risk have been conducted in order to support a risk-informed decision-making for selecting the top priority digs. Pipe properties, LSM tool reported data and Subject Matter Expert (SME) opinion were utilized in order to efficiently render a decision regarding prioritization of dig sites.\n The developed approach can be used as a regular process to prioritize similar dig programs. This method is capable of ranking different dig sites based on SME opinion as well as construction information and LSM reported data.","PeriodicalId":339189,"journal":{"name":"Volume 7: Operations, Applications, and Components","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrity Mitigation Prioritization Using Multi-Criteria Decision-Making\",\"authors\":\"Mahsa Mehranfar, Juan Mejia, S. Hassanien, James Martin\",\"doi\":\"10.1115/pvp2019-93621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n In-line Inspection (ILI) tools are regularly used for inspecting transmission pipelines. However, it is challenging to use such technology for a large portion of pipes; e.g. terminals and pumping stations, because of diameter changes, tight turns, or other pipe/inspection characteristics. Non-contact pipeline magnetic testing (NPMT) is a well-suited technique to inspect potentially non-ILI pipes. This paper presents a new framework for selecting and prioritizing digs-based LSM high severity features. A multi-criteria decision-making approach was developed using pair-wise comparisons which stems from the Analytical Hierarchy Process (AHP). AHP is a structured technique for organizing and analyzing complex decisions to help the decision maker set priorities and make the best decision given available information. In addition to the application of AHP, a cost benefit analysis and evaluation of risk have been conducted in order to support a risk-informed decision-making for selecting the top priority digs. Pipe properties, LSM tool reported data and Subject Matter Expert (SME) opinion were utilized in order to efficiently render a decision regarding prioritization of dig sites.\\n The developed approach can be used as a regular process to prioritize similar dig programs. This method is capable of ranking different dig sites based on SME opinion as well as construction information and LSM reported data.\",\"PeriodicalId\":339189,\"journal\":{\"name\":\"Volume 7: Operations, Applications, and Components\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 7: Operations, Applications, and Components\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/pvp2019-93621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 7: Operations, Applications, and Components","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/pvp2019-93621","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

定期使用在线检测工具对输油管进行检测。然而,将这种技术用于大部分管道是具有挑战性的;例如终端和泵站,由于直径变化、紧转或其他管道/检查特性。非接触式管道磁检测(NPMT)是一种非常适合检测潜在非ili管道的技术。本文提出了一种新的基于挖掘的LSM高严重性特征选择和优先级排序框架。一种多标准的决策方法是利用来自分析层次过程(AHP)的成对比较开发的。AHP是一种结构化的技术,用于组织和分析复杂的决策,以帮助决策者设置优先级,并在给定可用信息的情况下做出最佳决策。除了AHP的应用之外,还进行了成本效益分析和风险评估,以支持在风险知情的情况下选择最优先的矿井。利用管道属性、LSM工具报告的数据和主题专家(SME)的意见,有效地做出有关挖掘地点优先级的决策。开发的方法可以作为确定类似挖掘项目优先级的常规流程。该方法能够根据中小企业的意见以及施工信息和LSM报告的数据对不同的挖掘地点进行排名。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrity Mitigation Prioritization Using Multi-Criteria Decision-Making
In-line Inspection (ILI) tools are regularly used for inspecting transmission pipelines. However, it is challenging to use such technology for a large portion of pipes; e.g. terminals and pumping stations, because of diameter changes, tight turns, or other pipe/inspection characteristics. Non-contact pipeline magnetic testing (NPMT) is a well-suited technique to inspect potentially non-ILI pipes. This paper presents a new framework for selecting and prioritizing digs-based LSM high severity features. A multi-criteria decision-making approach was developed using pair-wise comparisons which stems from the Analytical Hierarchy Process (AHP). AHP is a structured technique for organizing and analyzing complex decisions to help the decision maker set priorities and make the best decision given available information. In addition to the application of AHP, a cost benefit analysis and evaluation of risk have been conducted in order to support a risk-informed decision-making for selecting the top priority digs. Pipe properties, LSM tool reported data and Subject Matter Expert (SME) opinion were utilized in order to efficiently render a decision regarding prioritization of dig sites. The developed approach can be used as a regular process to prioritize similar dig programs. This method is capable of ranking different dig sites based on SME opinion as well as construction information and LSM reported data.
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