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

Abstract

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.

Category

Academic chapter

Language

English

Affiliation

  • SINTEF Industry / SINTEF Manufacturing
  • SINTEF Digital / Technology Management

Date

27.08.2025

Year

2025

Publisher

Springer Nature Switzerland

Book

Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond: 44th IFIP WG 5.7 International Conference, APMS 2025, Kamakura, Japan, August 31 - September 4, 2025, Proceedings, Part IV

ISBN

9783032035424

Page(s)

394 - 409

View this publication at Norwegian Research Information Repository