{"title":"面向实际制造系统分析与建模的离散事件动态系统框架","authors":"J. Zelenka","doi":"10.1109/INES.2010.5483829","DOIUrl":null,"url":null,"abstract":"This article refers to possibility of utilization of modeling of a manufacturing system sense as a discrete event system by the optimization of a job schedule. Using software tools we can create a model, which allows simulation of system behaviour at varying parameters. The example of the manufacturing system model created by the SimEvents toolbox of software tools Matlab is illustrated.","PeriodicalId":118326,"journal":{"name":"2010 IEEE 14th International Conference on Intelligent Engineering Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Discrete event dynamic systems framework for analysis and modeling of real manufacturing system\",\"authors\":\"J. Zelenka\",\"doi\":\"10.1109/INES.2010.5483829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article refers to possibility of utilization of modeling of a manufacturing system sense as a discrete event system by the optimization of a job schedule. Using software tools we can create a model, which allows simulation of system behaviour at varying parameters. The example of the manufacturing system model created by the SimEvents toolbox of software tools Matlab is illustrated.\",\"PeriodicalId\":118326,\"journal\":{\"name\":\"2010 IEEE 14th International Conference on Intelligent Engineering Systems\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 14th International Conference on Intelligent Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES.2010.5483829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 14th International Conference on Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2010.5483829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discrete event dynamic systems framework for analysis and modeling of real manufacturing system
This article refers to possibility of utilization of modeling of a manufacturing system sense as a discrete event system by the optimization of a job schedule. Using software tools we can create a model, which allows simulation of system behaviour at varying parameters. The example of the manufacturing system model created by the SimEvents toolbox of software tools Matlab is illustrated.