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  • 标题:Internal Supply Chain Digital Twin of a Pharmaceutical Company
  • 本地全文:下载
  • 作者:João A.M. Santos ; Miguel R. Lopes ; Joaquim L. Viegas
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:10797-10802
  • DOI:10.1016/j.ifacol.2020.12.2864
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA digital twin of a pharmaceutical company’s internal supply chain is presented, along with a simulation-based rough cut capacity planning tool capable of giving estimates of the required monthly capacity for the different areas of the organization on the long-term. The work was a case study performed at a pharmaceutical company. The digital twin is delivered through a graphical user interface containing both its visualization and simulation tools. The proposed digital twin supplies accurate estimates of capacity needs to supply chain managers, giving the ability to easily visualize the resources required from different involved areas in the following 24 months.
  • 关键词:KeywordsDigital TwinInternal Supply ChainOperations ResearchSimulation-based Rough Cut Capacity PlanningPharmaceutical Supply Chain
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