Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
A soft computing approach for task contracting in multi-agent manufacturing control
Computers in Industry - Special issue: Soft computing in industrial applications
Ant Colony Optimization
Cybernetics: Or Control and Communication in Animal and the Machine
Cybernetics: Or Control and Communication in Animal and the Machine
Flexible Hierarchical Organisation of Role Based Agents
SASOW '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
RIO: roles, interactions and organizations
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Semi-heterarchical control of FMS: From theory to application
Engineering Applications of Artificial Intelligence
Agents tasks reallocation for collaborative urban supply chain management
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
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MAS are particularly adapted to deal with distributed and dynamic environment. The management of business workflow, or data flow, flexible manufacturing systems is typically a good application field for them. This kind of application requires centralization of the data control and flexibility to face with changes on the network. In the context of FMS, where products and resources entities can be seen as active, this paper presents the open-control concept and gives an example of its instantiation with holonic scheme. The open-control concept proposed in this paper exhibits the classic explicit control, as well as an innovative type of control called implicit control that allows system entities to be influenced via an Optimization Mechanism (OM). We illustrate our proposition by an implementation on a flexible assembly cell in our university.