Production layout optimization of intelligent manufacturing based on twin checkerboard model

Fucheng Ni; Yuangang Wang; Bangzhong Li

doi:10.1117/12.3026401

27 March 2024 Production layout optimization of intelligent manufacturing based on twin checkerboard model

Fucheng Ni, Yuangang Wang, Bangzhong Li

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131053N (2024) https://doi.org/10.1117/12.3026401
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

In the future, the products tend to be small batch, multi-variety development trend, the production line can be quickly changed according to different workpieces, and reasonable production layout can minimize the workpiece change time. Therefore, from the point of view of reasonable production layout, with the path of minimizing AGV as the optimization goal, the twin checkerboard model was established, and the digital lattice selection strategy and step size algorithm were used to optimize the station layout. Finally, the optimization of the production layout of the two processes was verified at the Tecnomatix Plant Simulation with five stations of different sizes and shapes. The results show that compared with the two random layout schemes, the AGV motion path is more than twice shorter, which is of great research value in the production exchange of parts with similar structure.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fucheng Ni, Yuangang Wang, and Bangzhong Li "Production layout optimization of intelligent manufacturing based on twin checkerboard model", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131053N (27 March 2024); https://doi.org/10.1117/12.3026401

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