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Communication Dans Un Congrès Année : 2008

Self-Regulation in Self-Organising Multi-Agent Systems for Adaptive and Intelligent Manufacturing Control

Résumé

In this paper, we explore the potential of distributed satisfaction techniques as to provide self-regulated manufacturing control. This work relies on a DisCSP-based modeling distributed among agents (e.g. machines) having enough and reasoning capabilities to cooperate and negotiate for a committed schedule. This approach is used to dynamically regulate the system (the network of machines) when perturbations occur (machine break-out, operator or container unavailability, or even priority command). Thus, for these machines, embodied intelligence and autonomy are a mean to provide a more flexible and adaptive manufacturing network. In this paper, we present two different multi-agent models and two extensions of well-known DisCSP solvers. Experiments using a dedicated simulation platform, MASC, are presented and discussed.
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hal-03800707 , version 1 (10-10-2022)

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Gaël Clair, Elsy Kaddoum, Marie-Pierre Gleizes, Gauthier Picard. Self-Regulation in Self-Organising Multi-Agent Systems for Adaptive and Intelligent Manufacturing Control. IEEE 2nd International Conference on Self-Adaptive and Self-Organizing Systems 2008, Oct 2008, Venice, Italy. pp.107--116, ⟨10.1109/SASO.2008.19⟩. ⟨hal-03800707⟩
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