基于加权相似系数的预防性维护操作

A. Abdelhadi, T. Khreis
{"title":"基于加权相似系数的预防性维护操作","authors":"A. Abdelhadi, T. Khreis","doi":"10.1109/IEEM.2016.7798114","DOIUrl":null,"url":null,"abstract":"In this paper a methodology for the application of group technology to preventive maintenance strategy based on weighted similarity coefficients is introduced. In this methodology machines are grouped into clusters of virtual cells based on the predicted severity of failure they can encounter. These cells are used to come up with an efficient maintenance strategy such as to prioritize the execution of the preventive maintenance to certain types of machines. Numerical example is presented to illustrate the procedure.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"319 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preventive maintenance operations based on weighted similarity coefficient\",\"authors\":\"A. Abdelhadi, T. Khreis\",\"doi\":\"10.1109/IEEM.2016.7798114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a methodology for the application of group technology to preventive maintenance strategy based on weighted similarity coefficients is introduced. In this methodology machines are grouped into clusters of virtual cells based on the predicted severity of failure they can encounter. These cells are used to come up with an efficient maintenance strategy such as to prioritize the execution of the preventive maintenance to certain types of machines. Numerical example is presented to illustrate the procedure.\",\"PeriodicalId\":114906,\"journal\":{\"name\":\"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"volume\":\"319 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM.2016.7798114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2016.7798114","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

介绍了一种基于加权相似系数的成组技术在预防性维修策略中的应用方法。在这种方法中,机器根据它们可能遇到的预测故障的严重程度分组成虚拟单元集群。这些单元用于提出有效的维护策略,例如优先执行对某些类型的机器的预防性维护。最后给出了数值算例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preventive maintenance operations based on weighted similarity coefficient
In this paper a methodology for the application of group technology to preventive maintenance strategy based on weighted similarity coefficients is introduced. In this methodology machines are grouped into clusters of virtual cells based on the predicted severity of failure they can encounter. These cells are used to come up with an efficient maintenance strategy such as to prioritize the execution of the preventive maintenance to certain types of machines. Numerical example is presented to illustrate the procedure.
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