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Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges

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Abstract

Nowadays, industrials are seeking for models and methods that are not only able to provide efficient overall production performance, but also for reactive systems facing a growing set of unpredicted events. One important research activity in that field focuses on holonic/multi-agent control systems that couple predictive/proactive and reactive mechanisms into agents/holons. Meanwhile, not enough attention is paid to the optimization of this coupling. The aim of this paper is to depict the main research challenges that are to be addressed before expecting a large industrial dissemination. Relying on an extensive review of the state of the art, three main challenges are highlighted: the estimation of the future performances of the system in reactive mode, the design of efficient switching strategies between predictive and reactive modes and the design of efficient synchronization mechanisms to switch back to predictive mode.

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Notes

  1. http://grace-project.org/

  2. http://www.smartproducts-project.eu/

  3. http://arum-project.eu/

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Authors and Affiliations

  1. LUNAM Université, IUT de Nantes – Université de Nantes, IRCCyN UMR CNRS 6597 (Institut de Recherche en Communications et Cybernétique de Nantes), 2 avenue du Prof. Jean Rouxel, 44475, Carquefou, France

    Olivier Cardin & Pierre Castagna

  2. UVHC, LAMIH UMR CNRS 8201, 59313, Valenciennes, France

    Damien Trentesaux & Thierry Berger

  3. Research Centre for Automatic Control (CRAN), CNRS (UMR 7029), Nancy University, ENSTIB, 27 rue Philippe Seguin, 88000, Épinal, France

    André Thomas & Hind Bril El-Haouzi

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  1. Olivier Cardin
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  2. Damien Trentesaux
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  3. André Thomas
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  4. Pierre Castagna
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  5. Thierry Berger
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  6. Hind Bril El-Haouzi
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Correspondence to Olivier Cardin.

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Cardin, O., Trentesaux, D., Thomas, A. et al. Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges. J Intell Manuf 28, 1503–1517 (2017). https://doi.org/10.1007/s10845-015-1139-0

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