{"title":"有限存储空间下生产线近似评价的一种有效分解方法","authors":"S. Gershwin","doi":"10.1109/CDC.1984.272127","DOIUrl":null,"url":null,"abstract":"This paper presents an approximate decomposition method for the evaluation of performance measures for production systems with finite buffers in which blocking and starvation are important. These systems are difficult to evaluate because of their large state spaces and because they may not be decomposed exactly. This approach is based on such system characteristics as conservation of flow. Comparison with exact and simulation results indicate that it is very fast and accurate.","PeriodicalId":269680,"journal":{"name":"The 23rd IEEE Conference on Decision and Control","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"An efficient decomposition method for the approximate evaluation of production lines with finite storage space - Summary\",\"authors\":\"S. Gershwin\",\"doi\":\"10.1109/CDC.1984.272127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approximate decomposition method for the evaluation of performance measures for production systems with finite buffers in which blocking and starvation are important. These systems are difficult to evaluate because of their large state spaces and because they may not be decomposed exactly. This approach is based on such system characteristics as conservation of flow. Comparison with exact and simulation results indicate that it is very fast and accurate.\",\"PeriodicalId\":269680,\"journal\":{\"name\":\"The 23rd IEEE Conference on Decision and Control\",\"volume\":\"152 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 23rd IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1984.272127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 23rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1984.272127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient decomposition method for the approximate evaluation of production lines with finite storage space - Summary
This paper presents an approximate decomposition method for the evaluation of performance measures for production systems with finite buffers in which blocking and starvation are important. These systems are difficult to evaluate because of their large state spaces and because they may not be decomposed exactly. This approach is based on such system characteristics as conservation of flow. Comparison with exact and simulation results indicate that it is very fast and accurate.
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