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  • 标题:Model of the Automated Warehouse Management and Forecasting System in the Conditions of Transition to Industry 4.0
  • 本地全文:下载
  • 作者:V. Lototsky ; R. Sabitov ; G. Smirnova
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:13
  • 页码:78-82
  • DOI:10.1016/j.ifacol.2019.11.137
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Dynamic model of the automated warehouse management and forecasting system in the conditions of Industry 4.0 is discussed. Usage of inductive knowledge base allows to predict the appearance of bottlenecks in advance and actually turns the warehouse management system into an expert with all the necessary integral experience, which helps to reduce significantly the financial costs of excessive inventory and to prevent certain components shortage possibility.
  • 关键词:KeywordsDynamic production modelsIndustry 4.0ForecastingIntegrated manufacturing executing systemsManufacturing controlIdentification
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