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Construction of a Digital Twin System and Dynamic Scheduling Simulation Analysis of a Flexible Assembly Workshops with Island Layout

Author

Listed:
  • Junli Liu

    (College of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Deyu Zhang

    (College of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Zhongpeng Liu

    (College of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Tianyu Guo

    (College of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Yanyan Yan

    (College of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

Abstract

Assembly Workshops with Island Layout (AWIL) possess flexible production capabilities that realize product diversification. To cope with the complex scheduling challenges in flexible workshops, improve resource utilization, reduce waste, and enhance production efficiency, this paper proposes a production scheduling method for flexible assembly workshops with an island layout based on digital twin technology. A digital twin model of the workshop is established according to production demands to simulate scheduling operations and deal with complex scheduling issues. A workshop monitoring system is developed to quickly identify abnormal events. By employing an event-driven rolling-window rescheduling technique, a dynamic scheduling service system is constructed. The rolling window decomposes scheduling problems into consecutive static scheduling intervals based on abnormal events, and a genetic algorithm is used to optimize each interval in real time. This approach provides accurate, real-time scheduling decisions to manage disturbances in workshop production, which can enhance flexibility in the production process, and allows rapid adjustments to production plans. Therefore, the digital twin system improves the sustainability of the production system, which will provide a theoretical research foundation for the real-time and unmanned production scheduling process, thereby achieving sustainable development of production.

Suggested Citation

  • Junli Liu & Deyu Zhang & Zhongpeng Liu & Tianyu Guo & Yanyan Yan, 2024. "Construction of a Digital Twin System and Dynamic Scheduling Simulation Analysis of a Flexible Assembly Workshops with Island Layout," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8851-:d:1497521
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    References listed on IDEAS

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    1. Elisa Negri & Vibhor Pandhare & Laura Cattaneo & Jaskaran Singh & Marco Macchi & Jay Lee, 2021. "Field-synchronized Digital Twin framework for production scheduling with uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1207-1228, April.
    2. Fei Tao & Qinglin Qi, 2019. "Make more digital twins," Nature, Nature, vol. 573(7775), pages 490-491, September.
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