Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
Automation, Production Systems, and Computer-Integrated Manufacturing
Automation, Production Systems, and Computer-Integrated Manufacturing
A self-organising view of manufacturing enterprises
Computers in Industry - Special issue: Virtual enterprise management
Modeling and specifications of dynamic agents in fractal manufacturing systems
Computers in Industry
The Fractal Company: A Revolution in Corporate Culture
The Fractal Company: A Revolution in Corporate Culture
Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system
Expert Systems with Applications: An International Journal
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The turbulent environment of modern times breeds a need to ensure flexibility and responsiveness for manufacturing systems. The conventional manufacturing systems, however, are not suitable for the dynamic environment because of their rigid structure. Thus, it is necessary to establish a novel manufacturing system which is capable of proactively perceiving the environment and of autonomously adapting to the changing environments. The purpose of this paper is to propose a self-evolution framework of manufacturing systems that facilitates continuous and quick adaptation. In a self-evolutionary manufacturing system, each production resource regulates its own goal, responding to the changes in its environment. Moreover, the organizational structure of the production resources is also dynamically transformed into a form suitable to the changed goal and the emerging environment. Especially, the proposed framework adopts fractal organization for its principal control architecture.