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  • 标题:A Digital Twin-based approach for multi-objective optimization of short-term production planning
  • 本地全文:下载
  • 作者:Maria Chiara Magnanini ; Oleksandr Melnychuk ; Anteneh Yemane
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:1
  • 页码:140-145
  • DOI:10.1016/j.ifacol.2021.08.077
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractShort-term multi-product production planning strongly depends on manifold considerations which can be related to backlog production, product-type prioritization, machine capacity, and set-ups. Different manufacturing systems conditions may lead to different objectives. In this context, it is rather difficult to define a-priori optimal production plans. This paper presents an effective approach for short-term production planning of multi-product systems based on the integration of a Digital Twin and a multi-objective optimization method. The proposed approach has been implemented in a real industrial case of the railway sector. Numerical results show that useful insights can be inferred from the proposed methodology.
  • 关键词:KeywordsProduction planningcontrolIntelligent decision support systems in manufacturingModeling of manufacturing operationsIntelligent manufacturing systemsMulti-objective optimization
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