{"title":"Order Holon Modeling Method Based on Time Petri-Nets and its Solution with Particle Swarm Optimization","authors":"Fuqing Zhao, Qiuyu Zhang, Aihong Zhu","doi":"10.1109/CIS.2007.161","DOIUrl":null,"url":null,"abstract":"The manufacturing system change from hierarchy to parallel structure, from concentration to distribution based on notion of Holonic Manufacturing System. In this paper, the problem of how to demarcate the unit of the manufacturing system, management style of the unit, control structure and the corresponding control method are settled. The model on order settlement in system reconfiguration model based on time Petri-net is put forward, order intelligent operation series is guided by particle swarm optimization, Simulation results show that the proposed model and algorithm are effective to order evaluation and implementation .","PeriodicalId":127238,"journal":{"name":"2007 International Conference on Computational Intelligence and Security (CIS 2007)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computational Intelligence and Security (CIS 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS.2007.161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The manufacturing system change from hierarchy to parallel structure, from concentration to distribution based on notion of Holonic Manufacturing System. In this paper, the problem of how to demarcate the unit of the manufacturing system, management style of the unit, control structure and the corresponding control method are settled. The model on order settlement in system reconfiguration model based on time Petri-net is put forward, order intelligent operation series is guided by particle swarm optimization, Simulation results show that the proposed model and algorithm are effective to order evaluation and implementation .
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