Membership Category
- Regular
Institution
- École de Technologie Supérieure - ETS
Discipline(s)
- Applied Mathematics
- Industrial Engineering
- Mechanical Engineering
Expertises
- Industrial logistics
- Numerical methods
- Production planning
- Stochastic processes and dynamic programming
- Simulation and experimental design
- Maintenance strategies
Biography
Jean-Pierre Kenné is a professor in the Mechanical Engineering Department at École de technologie supérieure. An expert in stochastic optimal control applied to production and maintenance management of production systems, he is also interested in advanced control of complex dynamic systems and their real-time implementation. Mr. Kenné worked for several years in the automation of industrial production systems before joining the Mechanical Engineering Department at ETS in 2000. He is the author of over 150 journal articles and a variety of conference papers. On the theoretical front, he works mainly on the development of new optimization models dealing with the integration of different optimization concepts in production, maintenance and industrial logistics with the aim of making investments profitable. Using optimal control theory in the presence of random phenomena, the dynamics of the system under study are described by adapted processes integrating equipment wear, product quality, production planning, reuse of used products and machine maintenance.
Numerical methods, simulation and statistical methods are then used to solve the problem and characterize different control policies in a global context of industrial production in the presence of different sources of random events. On a practical level, he is working on the development of methods for solving research problems of a complex nature. These methods enable efficient planning of manufacturing production system activities, taking into account issues related to production flexibility, competitiveness and profitability. The solution algorithms developed are implemented on examples of manufacturing production systems reflecting industrial realities, subject to budgetary and environmental constraints, and integrating reverse logistics. He is involved in a number of research projects in partnership with industry, as well as in several undergraduate and graduate courses.