{"title":"评估反应式调度系统","authors":"J. Dora","doi":"10.1109/IAT.2004.56","DOIUrl":null,"url":null,"abstract":"A knowledge-based test environment for reactive schedulers is proposed. This environment can be used to evaluate and compare the performance of reactive scheduling systems in different scheduling problems including supply chain management problems. The environment simulates autonomous agents that order products, supply raw material, dispatch scheduled operations in a plant and supervise the plan execution.","PeriodicalId":281008,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Evaluating reactive scheduling systems\",\"authors\":\"J. Dora\",\"doi\":\"10.1109/IAT.2004.56\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A knowledge-based test environment for reactive schedulers is proposed. This environment can be used to evaluate and compare the performance of reactive scheduling systems in different scheduling problems including supply chain management problems. The environment simulates autonomous agents that order products, supply raw material, dispatch scheduled operations in a plant and supervise the plan execution.\",\"PeriodicalId\":281008,\"journal\":{\"name\":\"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAT.2004.56\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAT.2004.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A knowledge-based test environment for reactive schedulers is proposed. This environment can be used to evaluate and compare the performance of reactive scheduling systems in different scheduling problems including supply chain management problems. The environment simulates autonomous agents that order products, supply raw material, dispatch scheduled operations in a plant and supervise the plan execution.