Distributed Intelligent Control systems specifically MAS and HMS are among the seminal models in current research to meet growing demands for robustness, flexibility, scalability, decentralization, efficiency, and responsiveness. However, real implementations of those approaches seem limited to research settings such as academic laboratories and learning factories and are much lower in real industrial applications. This paper aims to highlight and discuss the challenges reported during the implementation of intelligent distributed control systems in particular multi-agent systems (MAS) and holonic manufacturing systems (HMS) paradigms in real industrial applications, to address the reasons leading to this weak adoption rate, and mention some applied solutions related to those obstacles.

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Challenges Limiting the Industrial Deployment of Agent-Based Production Controllers

  • Khaled Atwi,
  • Olivier Cardin,
  • Wassim Bouazza,
  • Maroua Nouiri

摘要

Distributed Intelligent Control systems specifically MAS and HMS are among the seminal models in current research to meet growing demands for robustness, flexibility, scalability, decentralization, efficiency, and responsiveness. However, real implementations of those approaches seem limited to research settings such as academic laboratories and learning factories and are much lower in real industrial applications. This paper aims to highlight and discuss the challenges reported during the implementation of intelligent distributed control systems in particular multi-agent systems (MAS) and holonic manufacturing systems (HMS) paradigms in real industrial applications, to address the reasons leading to this weak adoption rate, and mention some applied solutions related to those obstacles.