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

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.