{"title":"实际柔性制造系统性能和可靠性评估的GSPN建模方法","authors":"B. Mazigh, J. Gresser, François Simon","doi":"10.1109/PNPM.1993.393442","DOIUrl":null,"url":null,"abstract":"Generalized stochastic Petri nets (GSPNs) are used to model and analyze a real flexible manufacturing system (FMS). First, performance and dependability evaluation are applied to a real-life system. A global system is decomposed to reduce the complexity evaluation. Temporal analysis is used to derive performance measures such as the average production per day. Second, a solution is proposed to increase the production rate by introducing buffers with finite capacity and a reorganization of jobs on different production lines.<<ETX>>","PeriodicalId":404832,"journal":{"name":"Proceedings of 5th International Workshop on Petri Nets and Performance Models","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"GSPN modelling methods for performance and dependability evaluation of a real-life flexible manufacturing system\",\"authors\":\"B. Mazigh, J. Gresser, François Simon\",\"doi\":\"10.1109/PNPM.1993.393442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Generalized stochastic Petri nets (GSPNs) are used to model and analyze a real flexible manufacturing system (FMS). First, performance and dependability evaluation are applied to a real-life system. A global system is decomposed to reduce the complexity evaluation. Temporal analysis is used to derive performance measures such as the average production per day. Second, a solution is proposed to increase the production rate by introducing buffers with finite capacity and a reorganization of jobs on different production lines.<<ETX>>\",\"PeriodicalId\":404832,\"journal\":{\"name\":\"Proceedings of 5th International Workshop on Petri Nets and Performance Models\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 5th International Workshop on Petri Nets and Performance Models\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PNPM.1993.393442\",\"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 of 5th International Workshop on Petri Nets and Performance Models","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PNPM.1993.393442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GSPN modelling methods for performance and dependability evaluation of a real-life flexible manufacturing system
Generalized stochastic Petri nets (GSPNs) are used to model and analyze a real flexible manufacturing system (FMS). First, performance and dependability evaluation are applied to a real-life system. A global system is decomposed to reduce the complexity evaluation. Temporal analysis is used to derive performance measures such as the average production per day. Second, a solution is proposed to increase the production rate by introducing buffers with finite capacity and a reorganization of jobs on different production lines.<>