Production System and Operation Management
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.
Date of update June 29, 2020