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Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology.

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This study introduces a dynamic scheduling approach using digital twin (DT) technology to optimize transporter operations in shipyards. The method enhances transportation efficiency and improves overall ship construction productivity.

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Area of Science:

  • Industrial Engineering
  • Operations Research
  • Digital Manufacturing

Background:

  • Transporter scheduling in shipyards faces challenges from road restrictions and block shapes.
  • Efficient scheduling of multiple transporters is crucial for optimizing transportation and construction efficiency.

Purpose of the Study:

  • To propose a dynamic scheduling approach for cooperative transportation using multiple transporters based on digital twin (DT) technology.
  • To address and model the multi-transporter scheduling problem considering block size and loading.

Main Methods:

  • A digital twin-based multiple transporter system framework was established in a virtual environment.
  • Block information was inputted to generate solutions using scheduling rules and interference detection.
  • Experimental comparisons were conducted across various scenarios with and without DT application.

Main Results:

  • The proposed dynamic scheduling approach significantly enhances transportation efficiency.
  • The application of DT technology demonstrably improves ship construction efficiency.
  • Interference detection and scheduling rules within the DT framework led to optimized solutions.

Conclusions:

  • Digital twin technology offers a viable solution for dynamic scheduling challenges in shipyard transportation.
  • The study expands DT applications in industrial settings, providing insights for shipbuilding management.
  • The developed approach effectively addresses complexities in multi-transporter scheduling for improved productivity.