O. Bougacha, C. Varnier, N. Zerhouni, S. Hajri-Gabouj
{"title":"基于预测信息的集成生产和预测性维修计划","authors":"O. Bougacha, C. Varnier, N. Zerhouni, S. Hajri-Gabouj","doi":"10.1109/ASET.2019.8871007","DOIUrl":null,"url":null,"abstract":"This paper address the problem of scheduling production and maintenance operation in predictive maintenance context. It proposes a contribution in the decision making phase of the prognostic and health management framework. The prognostics and decision processes are merged and an ant colony optimization approach for finding the sequence of decisions that optimizes the benefits of a production system is developed. A case study on a single machine composed of several components where machine can have several usage profiles. The results show that our approach surpasses classical condition based maintenance policy.","PeriodicalId":216138,"journal":{"name":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Integrated Production and Predictive Maintenance Planning based on Prognostic Information\",\"authors\":\"O. Bougacha, C. Varnier, N. Zerhouni, S. Hajri-Gabouj\",\"doi\":\"10.1109/ASET.2019.8871007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper address the problem of scheduling production and maintenance operation in predictive maintenance context. It proposes a contribution in the decision making phase of the prognostic and health management framework. The prognostics and decision processes are merged and an ant colony optimization approach for finding the sequence of decisions that optimizes the benefits of a production system is developed. A case study on a single machine composed of several components where machine can have several usage profiles. The results show that our approach surpasses classical condition based maintenance policy.\",\"PeriodicalId\":216138,\"journal\":{\"name\":\"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASET.2019.8871007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASET.2019.8871007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrated Production and Predictive Maintenance Planning based on Prognostic Information
This paper address the problem of scheduling production and maintenance operation in predictive maintenance context. It proposes a contribution in the decision making phase of the prognostic and health management framework. The prognostics and decision processes are merged and an ant colony optimization approach for finding the sequence of decisions that optimizes the benefits of a production system is developed. A case study on a single machine composed of several components where machine can have several usage profiles. The results show that our approach surpasses classical condition based maintenance policy.