Applying eco problem solving to the control of an adaptative manufacturing cell

Proceedings of the CESA'96
an IMACS-IEEE Multiconference on Computational Engineering in Systems Applications (CESA'96)
Lille, France, July 9-12, 1996

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The research of adaptativity and reactivity in the control of adaptative manufacturing cells implies distribution of intelligence in decision making. It also entails the difficulty to master and optimize real-time decision-making. The aim of this paper is to study the interest of multi-agent system and eco-resolution, in the control of adaptative manufacturing cells.

After an introduction of the problem we deal with, we present principles of the eco-resolution introduced in the field of distributed artificial intelligence. Secondly, we show how model a cell controller with eco-agents acting in an eco-problem. Then, we propose some extensions to the eco-resolution in order to suit to the control of a physical system of production. A precise model of a generic eco-agent is presented in the third session. Lastly, milling cell controller developed at LURPA is studied as example.