Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
A soft computing approach for task contracting in multi-agent manufacturing control
Computers in Industry - Special issue: Soft computing in industrial applications
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
A holonic approach to dynamic manufacturing scheduling
Robotics and Computer-Integrated Manufacturing
Intelligent Products: A survey
Computers in Industry
A stigmergic approach for dynamic routing of active products in FMS
Computers in Industry
An Open-Control Concept for a Holonic Multiagent System
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Distributed control of production systems
Engineering Applications of Artificial Intelligence
Agent-based distributed manufacturing control: A state-of-the-art survey
Engineering Applications of Artificial Intelligence
Semi-heterarchical Allocation and Routing Processes in FMS Control: A Stigmergic Approach
Journal of Intelligent and Robotic Systems
Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Bio-inspired multi-agent systems for reconfigurable manufacturing systems
Engineering Applications of Artificial Intelligence
The control of myopic behavior in semi-heterarchical production systems: A holonic framework
Engineering Applications of Artificial Intelligence
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This paper presents both a model and a real implementation of a semi-heterarchical control system for flexible manufacturing systems (FMS). After presenting the concepts of heterarchical and semi-heterarchical control, a product-based control structure, composed of a dynamic allocation process (DAP) and a dynamic routing process (DRP), is proposed. Though the associated control processes (DAP and DRP) are hierarchically dependant, each is managed heterarchically, with no supervisor. The dynamic allocation algorithms are presented, and our highly distributed approach to routing control is then explained in detail. A real distributed application of the active entities and the control architecture was implemented in the AIP-PRIMECA pole at the University of Valenciennes, and this implementation is described in detail. A mixed-integer linear model of the FMS was used to compute lower bounds. The flexibility and robustness of our approach are highlighted through several real experiments.