A Data Mining Based Algorithm to Enhance Maintenance Management: A Medical Equipment Case Study

Taha Mokfi, Mahsa Almaeenejad, Mohamad Sedighi
{"title":"A Data Mining Based Algorithm to Enhance Maintenance Management: A Medical Equipment Case Study","authors":"Taha Mokfi, Mahsa Almaeenejad, Mohamad Sedighi","doi":"10.1109/ICI.2011.23","DOIUrl":null,"url":null,"abstract":"Although firms can extract precious knowledge from the growing volume of maintenance data, a considerable proportion of these data is untapped. In order to discover knowledge from these huge amounts of data to support maintenance decision making, data mining can be considered as a powerful tool. However, according to the literature on maintenance, the application of data mining in maintenance needs greater attention and further exploration. In this regard, in this study the effort has been made to propose an overall data mining based algorithm for enhancement of maintenance management. Finally, an Iranian medical equipment case is studied to illustrate the usage of the proposed algorithm in the real world.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 First International Conference on Informatics and Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICI.2011.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Although firms can extract precious knowledge from the growing volume of maintenance data, a considerable proportion of these data is untapped. In order to discover knowledge from these huge amounts of data to support maintenance decision making, data mining can be considered as a powerful tool. However, according to the literature on maintenance, the application of data mining in maintenance needs greater attention and further exploration. In this regard, in this study the effort has been made to propose an overall data mining based algorithm for enhancement of maintenance management. Finally, an Iranian medical equipment case is studied to illustrate the usage of the proposed algorithm in the real world.
一种基于数据挖掘的改进维护管理算法——以医疗设备为例
尽管企业可以从不断增长的维护数据中提取宝贵的知识,但这些数据中有相当大一部分尚未开发。为了从这些庞大的数据中发现知识来支持维护决策,数据挖掘可以被视为一种强大的工具。然而,从维护方面的文献来看,数据挖掘在维护中的应用还需要更多的关注和进一步的探索。在这方面,本研究提出了一种全面的基于数据挖掘的算法来增强维护管理。最后,研究了一个伊朗医疗设备案例,以说明所提出的算法在现实世界中的使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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