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  • 标题:Synergy of multi-modelling for process control
  • 本地全文:下载
  • 作者:Richárd Beregi ; Ádám Szaller ; Botond Kádár
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:11
  • 页码:1023-1028
  • DOI:10.1016/j.ifacol.2018.08.473
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper a multi-modelling experiment is presented through which we have studied the possibilities of manufacturing process control supported by different digital simulation models. The main pillar of the study is a real, operating, research and demonstration cyber-physical production system which is detailed in the study. Our digital twin of the system in question includes two different virtual models; an agent-based model endowed with the ability of error handling, and a discrete-event simulation-based model for forecasting and supporting the error handling routine with evaluating bids. The experiment includes typical manufacturing processes with machine failures, which should be detected and recognized to invoke both simulations for re-forecast and error management.
  • 关键词:Keywordsdigital twinforecastingmultimethod modellingdiscrete event-based simulationagent-based simulationerror handling
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