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Pollux: a dynamic hybrid control architecture for flexible job shop systems

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Listed:
  • Jose-Fernando Jimenez
  • Abdelghani Bekrar
  • Gabriel Zambrano-Rey
  • Damien Trentesaux
  • Paulo Leitão

Abstract

Nowadays, manufacturing control systems can respond more effectively to exigent market requirements and real-time demands. Indeed, they take advantage of changing their structural and behavioural arrangements to tailor the control solution from a diverse set of feasible configurations. However, the challenge of this approach is to determine efficient mechanisms that dynamically optimise the configuration between different architectures. This paper presents a dynamic hybrid control architecture that integrates a switching mechanism to control changes at both structural and behavioural level. The switching mechanism is based on a genetic algorithm and strives to find the most suitable operating mode of the architecture with regard to optimality and reactivity. The proposed approach was tested in a real flexible job shop to demonstrate the applicability and efficiency of including an optimisation algorithm in the switching process of a dynamic hybrid control architecture.

Suggested Citation

  • Jose-Fernando Jimenez & Abdelghani Bekrar & Gabriel Zambrano-Rey & Damien Trentesaux & Paulo Leitão, 2017. "Pollux: a dynamic hybrid control architecture for flexible job shop systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4229-4247, August.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:15:p:4229-4247
    DOI: 10.1080/00207543.2016.1218087
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    References listed on IDEAS

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    1. Jose-Fernando Jimenez & Abdelghani Bekrar & Damien Trentesaux & Paulo Leitão, 2016. "A switching mechanism framework for optimal coupling of predictive scheduling and reactive control in manufacturing hybrid control architectures," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 7027-7042, December.
    2. Böhnlein, Dominik & Schweiger, Katharina & Tuma, Axel, 2011. "Multi-agent-based transport planning in the newspaper industry," International Journal of Production Economics, Elsevier, vol. 131(1), pages 146-157, May.
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    Cited by:

    1. Edgar Chacón & Luis Alberto Cruz Salazar & Juan Cardillo & Yenny Alexandra Paredes Astudillo, 2021. "A control architecture for continuous production processes based on industry 4.0: water supply systems application," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 2061-2081, October.
    2. William Derigent & Olivier Cardin & Damien Trentesaux, 2021. "Industry 4.0: contributions of holonic manufacturing control architectures and future challenges," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1797-1818, October.

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