Management and control of complex production systems: co-opetition through game theory principles and agents based information systems

Multiagent systems based on a hierarchical architecture offer a fruitful methodological framework for the management and the control of complex production systems. Planning, resource allocation and advanced scheduling can be replaced by a permanent resource reconfiguration and dynamic scheduling. The dynamic scheduling problem is addressed by a two-steps "co-opetition" approach, resulting in a first phase of cooperation using a request session agent, and a second phase of competition between agents, which is solved by means of the game theory.