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  • 标题:Stepping into the Industry 4.0: The Digital Twin Approach
  • 本地全文:下载
  • 作者:Logica BANICA ; Cristian STEFAN
  • 期刊名称:Annals of Dunărea de Jos University. Fascicle I : Economics and Applied Informatics
  • 印刷版ISSN:1584-0409
  • 出版年度:2019
  • 期号:3
  • 页码:107-113
  • 出版社:Dunarea de Jos University of Galati
  • 摘要:The digital manufacturing process based on the Digital Twin is a new approach that will forever shape the future of the Industry 4.0. This innovative concept is based on wellknown technologies that already power the cloud-based economy: Big Data, Machine Learning and Data Science techniques. We present a Digital Twin model for manufacturing and the stages involved to build it. Currently, many Digital Twin solutions are available on the IT market, which contribute to the successful implementation of the technology in different industries. Our study presents the features and benefits of several dedicated Digital Twin software applications for the current-day business environment. Our case study involves the trial version of the ARIS software platform, that allows the construction of a DT model and we are emphasizing the possibilities offered by this new approach for the manufacturing future.
  • 关键词:Digital Twin technology; Big Data;; Machine learning; Smart; manufacturing; Business model
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