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  • 标题:Prediction of Turn Around Time using Neural Networks - A Case Study of Shipping Ports
  • 本地全文:下载
  • 作者:Anshul Balamwar ; Tuhin Subhra De ; Debabrata Das
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:10
  • 页码:389-394
  • DOI:10.1016/j.ifacol.2022.09.424
  • 语种:English
  • 出版社:Elsevier
  • 摘要:An important metric for any port to observe is its Turn Around Time, which dictates not only its present performance but gives insight into all other operations and future performance of the port. Having an accurate prediction gives the port to the ability to schedule better and realize the difference in time taken to finish a workload in theory and reality for better accountability.
  • 关键词:Prediction;Neural Networks;Turn Around Time;Ports;Shipping
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