{"title":"一种基于数据挖掘的改进维护管理算法——以医疗设备为例","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":"{\"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}","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}
A Data Mining Based Algorithm to Enhance Maintenance Management: A Medical Equipment Case Study
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.