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A modular factory testbed for the rapid reconfiguration of manufacturing systems

Author

Listed:
  • D.-Y. Kim

    (Ulsan National Institute of Science and Technology)

  • J.-W. Park

    (Ulsan National Institute of Science and Technology)

  • S. Baek

    (Ulsan National Institute of Science and Technology)

  • K.-B. Park

    (Ulsan National Institute of Science and Technology)

  • H.-R. Kim

    (Ulsan National Institute of Science and Technology)

  • J.-I. Park

    (Ulsan National Institute of Science and Technology)

  • H.-S. Kim

    (Ulsan National Institute of Science and Technology)

  • B.-B. Kim

    (Ulsan National Institute of Science and Technology)

  • H.-Y. Oh

    (Ulsan National Institute of Science and Technology)

  • K. Namgung

    (Ulsan National Institute of Science and Technology)

  • W. Baek

    (Ulsan National Institute of Science and Technology)

Abstract

The recent manufacturing trend toward mass customization and further personalization of products requires factories to be smarter than ever before in order to: (1) quickly respond to customer requirements, (2) resiliently retool machinery and adjust operational parameters for unforeseen system failures and product quality problems, and (3) retrofit old systems with upcoming new technologies. Furthermore, product lifecycles are becoming shorter due to unbounded and unpredictable customer requirements, thereby requiring reconfigurable and versatile manufacturing systems that underpin the basic building blocks of smart factories. This study introduces a modular factory testbed, emphasizing transformability and modularity under a distributed shop-floor control architecture. The main technologies and methods, being developed and verified through the testbed, are presented from the four aspects of rapid factory transformation: self-layout recognition, rapid workstation and robot reprogramming, inter-layer information sharing, and configurable software for shop-floor monitoring.

Suggested Citation

  • D.-Y. Kim & J.-W. Park & S. Baek & K.-B. Park & H.-R. Kim & J.-I. Park & H.-S. Kim & B.-B. Kim & H.-Y. Oh & K. Namgung & W. Baek, 2020. "A modular factory testbed for the rapid reconfiguration of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 661-680, March.
    • Handle: RePEc:spr:joinma:v:31:y:2020:i:3:d:10.1007_s10845-019-01471-2
    DOI: 10.1007/s10845-019-01471-2
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    References listed on IDEAS

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    Cited by:

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    2. Kyu Tae Park & Jinho Yang & Sang Do Noh, 2021. "VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 501-544, February.
    3. Wei Nie & Katharina Vita & Tariq Masood, 2024. "An ontology for defining and characterizing demonstration environments," Journal of Intelligent Manufacturing, Springer, vol. 35(7), pages 3501-3521, October.
    4. Giovanni Boschetti & Matteo Bottin & Maurizio Faccio & Riccardo Minto, 2021. "Multi-robot multi-operator collaborative assembly systems: a performance evaluation model," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1455-1470, June.
    5. Gautam Dutta & Ravinder Kumar & Rahul Sindhwani & Rajesh Kr. Singh, 2021. "Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1679-1698, August.

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