Our research concerns the dynamic production systems of goods and services, subject to uncertainties. We seek to develop methods to help in decision making and to ensure good performance of such systems, despite the uncertainties.
Our approach is based on modeling, analysis and optimization of the systems under study. We use tools and develop new methods, particularly adapted for or issued from discrete event systems and operational research. These are either stochastic tools (Queueing networks, Stochastic Petri Nets, Markov chains, Simulation, Markov Decision Processes, etc.) or deterministic ones (Linear Programming, Automata Theory, Petri Nets, Logical Reasoning, Interval Models, etc.)
Our work involves both, the solution of generic problems by taking into account the general characteristics of given problems, and the solution of industrial problems which require developing specific tools.
Physical flow and energy flow management
Flows in supply chains
Energy flows in the building
Flows in health care systems
Safety and risk management
Supervision, monitoring and reconfiguration of complex industrial systems