Multi Agent System (MAS) CPS for ZDM

Innovation Item Lead

Cristina Cristalli (LOC), with the contribution of IPB

Technology Readiness Level

7 (System prototype demonstration in operational environment)

Environment

Multi-Agent System (MAS)

1a Multi Agent System (MAS) CPS for ZDM

2 minute read

The Multi-Agent System (MAS) allows for a decentralized, scalable, robust and flexible solution for ZDM strategies where new smart stations are easily plugged-in/out enabling and providing automatic and real time monitoring and early detection of deviations.

Actually, there is a central quality management system to establish quality control strategies, so changing a rule or a parameter is not so easy and it cannot happen dynamically, while (in order to reduce test time and costs) a MAS approach can coordinate the distributed quality inspection tools in the production line.

The multi-agent systems paradigm introduces several advantages when compared with the traditional approaches, mainly in terms of computational efficiency, reliability, extensibility, robustness, maintainability, responsiveness, flexibility and reuse.

Information

  • GO0DMAN Webinar - Multi Agent Systems
  • Paper: Barbosa, José et al. “Implementation of a Multi-Agent System to Support ZDM Strategies in Multi-Stage Environments.” 2018 IEEE 16th International Conference on Industrial Informatics (INDIN) (2018): 822-827. (Access)
  • Paper: Barbosa, José et al. “Smart Inspection Tools Combining Multi-Agent Systems and Advanced Quality Control.” 2018 IEEE 16th International Conference on Industrial Informatics (INDIN) (2018): 828-833. (Access)
  • Paper: Rocha, André Dionísio et al. “Improvement of Multistage Quality Control through the Integration of Decision Modeling and Cyber-Physical Production Systems.” 2018 International Conference on Intelligent Systems (IS) (2018): 479-484. (Access)
  • Paper: P. Leitão, J. Barbosa, C. Geraldes, J.P. Coelho (2017), “Multi-Agent System Architecture for Zero Defect Multi-stage Manufacturing”, Proceedings of 7th Workshop on Service Orientation in Holonic and Multi-agent Manufacturing (SOHOMA’17), Nantes, França, 19 - 20 October, Borangiu T., Trentesaux D., Thomas A., Cardin O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, pp. 13-16 (DOI: 10.1007/978-3-319-73751-5_2). (Access)
  • Deliverable D2.1 - Multi-Agent Insfrastructure Specification
  • Deliverable D2.2 - Ontology Definition
  • Deliverable D2.3 - Multi-Agent Infrastructure

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