{"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}
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.