{"title":"考虑机器健康状况的预测性维护策略和x柱控制图联合优化","authors":"Yaping Li, E. Pan, Zhen Chen","doi":"10.1109/GSIS.2017.8077727","DOIUrl":null,"url":null,"abstract":"The time-based preventive maintenance, used by the integrated model of SPC and maintenance policy in most research, caused unnecessary or absent actions with a high probability due to ignoring the actual operation condition of the machine. We consider the predictive maintenance according to the health condition of the machine to develop a joint optimization model of SPC and maintenance policy. The objective of the model is to minimize the cost per unit time in the cycle by find the optimal values of maintenance time threshold about the health index, maintenance frequency, control limit, sample size and sampling interval. A numerical example and thorough sensitivity analysis are provided to illustrate the efficiency of the proposed joint optimization model.","PeriodicalId":425920,"journal":{"name":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Considering machine health condition in jointly optimizing predictive maintenance policy and X-bar control chart\",\"authors\":\"Yaping Li, E. Pan, Zhen Chen\",\"doi\":\"10.1109/GSIS.2017.8077727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The time-based preventive maintenance, used by the integrated model of SPC and maintenance policy in most research, caused unnecessary or absent actions with a high probability due to ignoring the actual operation condition of the machine. We consider the predictive maintenance according to the health condition of the machine to develop a joint optimization model of SPC and maintenance policy. The objective of the model is to minimize the cost per unit time in the cycle by find the optimal values of maintenance time threshold about the health index, maintenance frequency, control limit, sample size and sampling interval. A numerical example and thorough sensitivity analysis are provided to illustrate the efficiency of the proposed joint optimization model.\",\"PeriodicalId\":425920,\"journal\":{\"name\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Grey Systems and Intelligent Services (GSIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2017.8077727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Grey Systems and Intelligent Services (GSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2017.8077727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Considering machine health condition in jointly optimizing predictive maintenance policy and X-bar control chart
The time-based preventive maintenance, used by the integrated model of SPC and maintenance policy in most research, caused unnecessary or absent actions with a high probability due to ignoring the actual operation condition of the machine. We consider the predictive maintenance according to the health condition of the machine to develop a joint optimization model of SPC and maintenance policy. The objective of the model is to minimize the cost per unit time in the cycle by find the optimal values of maintenance time threshold about the health index, maintenance frequency, control limit, sample size and sampling interval. A numerical example and thorough sensitivity analysis are provided to illustrate the efficiency of the proposed joint optimization model.
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