{"title":"具有顺序相关设置的多产品制造系统:性能评估和系统特性","authors":"W. Feng, Li Zheng, Jingshan Li","doi":"10.1109/CASE.2011.6042471","DOIUrl":null,"url":null,"abstract":"In this paper, a continuous time Markov chain model is introduced to study multi-product manufacturing systems with sequence-dependent setups, finite buffers, and cyclic scheduling policy. Analytical formulas to evaluate system throughput are developed, and system properties on setup time, buffer capacity, processing and arrival rates are investigated.","PeriodicalId":236208,"journal":{"name":"2011 IEEE International Conference on Automation Science and Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Multi-product manufacturing systems with sequence-dependent setups: Performance evaluation and system properties\",\"authors\":\"W. Feng, Li Zheng, Jingshan Li\",\"doi\":\"10.1109/CASE.2011.6042471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a continuous time Markov chain model is introduced to study multi-product manufacturing systems with sequence-dependent setups, finite buffers, and cyclic scheduling policy. Analytical formulas to evaluate system throughput are developed, and system properties on setup time, buffer capacity, processing and arrival rates are investigated.\",\"PeriodicalId\":236208,\"journal\":{\"name\":\"2011 IEEE International Conference on Automation Science and Engineering\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Automation Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE.2011.6042471\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Automation Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2011.6042471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-product manufacturing systems with sequence-dependent setups: Performance evaluation and system properties
In this paper, a continuous time Markov chain model is introduced to study multi-product manufacturing systems with sequence-dependent setups, finite buffers, and cyclic scheduling policy. Analytical formulas to evaluate system throughput are developed, and system properties on setup time, buffer capacity, processing and arrival rates are investigated.