{"title":"作业车间调度的最优重调度策略","authors":"H. Suwa, H. Sandoh","doi":"10.1109/ETFA.1999.813147","DOIUrl":null,"url":null,"abstract":"In manufacturing activities, reactive scheduling is effective to cope with disturbance caused by unexpected events such as machine failures. However, its performance depends on empirical knowledge by scheduling experts in many cases. The paper deals with a mathematical model of an optimal policy for periodic re-scheduling which provides an optimal re-scheduling frequency. We investigate the effectiveness of the proposed model by applying it to a jobshop scheduling problem.","PeriodicalId":119106,"journal":{"name":"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An optimal re-scheduling policy for jobshop scheduling\",\"authors\":\"H. Suwa, H. Sandoh\",\"doi\":\"10.1109/ETFA.1999.813147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In manufacturing activities, reactive scheduling is effective to cope with disturbance caused by unexpected events such as machine failures. However, its performance depends on empirical knowledge by scheduling experts in many cases. The paper deals with a mathematical model of an optimal policy for periodic re-scheduling which provides an optimal re-scheduling frequency. We investigate the effectiveness of the proposed model by applying it to a jobshop scheduling problem.\",\"PeriodicalId\":119106,\"journal\":{\"name\":\"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETFA.1999.813147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.1999.813147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An optimal re-scheduling policy for jobshop scheduling
In manufacturing activities, reactive scheduling is effective to cope with disturbance caused by unexpected events such as machine failures. However, its performance depends on empirical knowledge by scheduling experts in many cases. The paper deals with a mathematical model of an optimal policy for periodic re-scheduling which provides an optimal re-scheduling frequency. We investigate the effectiveness of the proposed model by applying it to a jobshop scheduling problem.