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Simulation-based layout optimization for multi-station assembly lines

Author

Listed:
  • Daria Leiber

    (Institute for Machine Tools and Industrial Management, Technical University of Munich)

  • David Eickholt

    (Institute for Machine Tools and Industrial Management, Technical University of Munich)

  • Anh-Tu Vuong

    (Institute for Machine Tools and Industrial Management, Technical University of Munich)

  • Gunther Reinhart

    (Institute for Machine Tools and Industrial Management, Technical University of Munich)

Abstract

This article presents a novel approach for the automated 3D-layout planning of multi-station assembly lines. The planning method is based on a comprehensive model of the used production resources, including their geometry, kinematic properties, and general characteristics. Different resource types can be included in the planning system. A genetic algorithm generates and optimizes possible layouts for a line. The optimization aims to minimize the line’s area and the costs for assembling the line while simultaneously optimizing the resources’ positioning to perform their tasks. The line’s cycle time is considered as a boundary condition. For the evaluation of different layout alternatives, a multi-body simulation is performed. A parameter study is used to set the algorithm’s parameters. Afterward, the algorithm is applied to three increasingly complex examples to validate and evaluate its functionality. The approach is promising for industrial applications as it allows the integration of various resource types and individualization of the optimization function.

Suggested Citation

  • Daria Leiber & David Eickholt & Anh-Tu Vuong & Gunther Reinhart, 2022. "Simulation-based layout optimization for multi-station assembly lines," Journal of Intelligent Manufacturing, Springer, vol. 33(2), pages 537-554, February.
    • Handle: RePEc:spr:joinma:v:33:y:2022:i:2:d:10.1007_s10845-021-01853-5
    DOI: 10.1007/s10845-021-01853-5
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    References listed on IDEAS

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    1. Pablo Pérez-Gosende & Josefa Mula & Manuel Díaz-Madroñero, 2021. "Facility layout planning. An extended literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3777-3816, June.
    2. Silu Liu & Zeqiang Zhang & Chao Guan & Lixia Zhu & Min Zhang & Peng Guo, 2021. "An improved fireworks algorithm for the constrained single-row facility layout problem," International Journal of Production Research, Taylor & Francis Journals, vol. 59(8), pages 2309-2327, April.
    3. Mariem Besbes & Marc Zolghadri & Roberta Costa Affonso & Faouzi Masmoudi & Mohamed Haddar, 2021. "3D facility layout problem," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1065-1090, April.
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