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Norwegian yards face difficulties in operational coordination and the adoption of effective technical solutions, reducing their overall productivity. To remain competitive and fully leverage the vast amount of data, it is essential to adopt innovative technologies and methods, such as digital twins and artificial intelligence. This study aims to map the current applications of digital twin technology in yards, exploring its potential, challenges, and needs. A comprehensive literature review and a case study from a Norwegian yard are conducted. Research reveals that applications are often limited to small or specific parts of the yard, rather than full-scale operations. While the use of 3D visualization tools and artificial intelligence optimization methods is widespread, the findings highlight the need to implement digital twins and artificial intelligence technologies more extensively in production and across entire yard operations to enhance overall efficiency and productivity.

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Challenges and Opportunities for Digital Twin Modelling and Optimization in Yard Operations

  • 会议论文

  • 发表日期：

    2026年

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  • Linda Helen Sperre,
  • Giuseppe Fragapane,
  • Zachari Thiry,
  • Logan Reed Vallandingham,
  • Pål Furu Kamsvåg,
  • Jo Wessel Strandhagen,
  • Sven-Vegard Buer

摘要

Norwegian yards face difficulties in operational coordination and the adoption of effective technical solutions, reducing their overall productivity. To remain competitive and fully leverage the vast amount of data, it is essential to adopt innovative technologies and methods, such as digital twins and artificial intelligence. This study aims to map the current applications of digital twin technology in yards, exploring its potential, challenges, and needs. A comprehensive literature review and a case study from a Norwegian yard are conducted. Research reveals that applications are often limited to small or specific parts of the yard, rather than full-scale operations. While the use of 3D visualization tools and artificial intelligence optimization methods is widespread, the findings highlight the need to implement digital twins and artificial intelligence technologies more extensively in production and across entire yard operations to enhance overall efficiency and productivity.