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Task allocation model for human-robot collaboration with variable cobot speed

Author

Listed:
  • Maurizio Faccio

    (University of Padova)

  • Irene Granata

    (University of Padova)

  • Riccardo Minto

    (University of Padova)

Abstract

New technologies, such as collaborative robots, are an option to improve productivity and flexibility in assembly systems. Task allocation is fundamental to properly assign the available resources. However, safety is usually not considered in the task allocation for assembly systems, even if it is fundamental to ensure the safety of human operator when he/she is working with the cobot. Hence, a model that considers safety as a constraint is here presented, with the aim to both maximize the productivity in a collaborative workcell and to promote a secure human robot collaboration. Indexes that consider both process and product characteristics are considered to evaluate the quality of the proposed model, which is also compared with one without the safety constraint. The results confirm the validity and necessity of the newly proposed method, which ensures the safety of the operator while improving the performance of the system.

Suggested Citation

  • Maurizio Faccio & Irene Granata & Riccardo Minto, 2024. "Task allocation model for human-robot collaboration with variable cobot speed," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 793-806, February.
    • Handle: RePEc:spr:joinma:v:35:y:2024:i:2:d:10.1007_s10845-023-02073-9
    DOI: 10.1007/s10845-023-02073-9
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    References listed on IDEAS

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    1. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
    2. Karin Bogner & Ulrich Pferschy & Roland Unterberger & Herwig Zeiner, 2018. "Optimised scheduling in human–robot collaboration – a use case in the assembly of printed circuit boards," International Journal of Production Research, Taylor & Francis Journals, vol. 56(16), pages 5522-5540, August.
    3. 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.
    4. Bautista, Joaquin & Pereira, Jordi, 2007. "Ant algorithms for a time and space constrained assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 177(3), pages 2016-2032, March.
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