{"title":"基于规则的编程在生产调度中的作用","authors":"G. Bruno, M. Morisio","doi":"10.1109/ROBOT.1987.1087988","DOIUrl":null,"url":null,"abstract":"Production scheduling on a flexible manufacturing system is a mixed continuous combinatorial optimization problem. Closed queueing network analysis is the technique we used to solve the continuous problem. Around it a rule based module has been established to heuristically solve the combinatorial problem. Two schedulers have been implemented, considering shorter or longer intervals of time, both based on the new solution paradigm for production scheduling.","PeriodicalId":438447,"journal":{"name":"Proceedings. 1987 IEEE International Conference on Robotics and Automation","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1987-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"The role of rule based programming for production scheduling\",\"authors\":\"G. Bruno, M. Morisio\",\"doi\":\"10.1109/ROBOT.1987.1087988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Production scheduling on a flexible manufacturing system is a mixed continuous combinatorial optimization problem. Closed queueing network analysis is the technique we used to solve the continuous problem. Around it a rule based module has been established to heuristically solve the combinatorial problem. Two schedulers have been implemented, considering shorter or longer intervals of time, both based on the new solution paradigm for production scheduling.\",\"PeriodicalId\":438447,\"journal\":{\"name\":\"Proceedings. 1987 IEEE International Conference on Robotics and Automation\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1987-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 1987 IEEE International Conference on Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOT.1987.1087988\",\"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. 1987 IEEE International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.1987.1087988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The role of rule based programming for production scheduling
Production scheduling on a flexible manufacturing system is a mixed continuous combinatorial optimization problem. Closed queueing network analysis is the technique we used to solve the continuous problem. Around it a rule based module has been established to heuristically solve the combinatorial problem. Two schedulers have been implemented, considering shorter or longer intervals of time, both based on the new solution paradigm for production scheduling.
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