“Assisting in the sustainable Industrialization of Territories”
Head
Bruno Léger
bruno.leger@mines-stetienne.fr
Research fields
- Industrial engineering
- Computer sciences
- Management
- Applied mathematics
- Operational Research
- Environnement
- Economics
- Social sciences.
Human ressources
99 persons
- 46 permanents : 41 Professors or assistants+ 5 technicals and administratives persons
- 53 PhD students and Post-PhD
Expertise, skills and know-how
- Decision Aiding oriented Computer Sciences, mathematical modeling.
- Global Performance, Industrial Risk, Innovation and Organizational Change, product design and production systems, open cooperative and decentralized IT systems, urban logistics, Corporate Social Responsibility, environnemental assessment.
Research units
Scientific Departments
Computer science and intelligent systems department
Contact: Olivier Boissier, olivier.boissier@mines-stetienne.fr
Inter-connection of digital contents, services, things and people
- Artificial Intelligence
- Knowledge Representation
- Semantic Web
- Data mining
- Multi-Agent Systems
- Social Networks
- Virtual Communities
Mathematics and Operations Research for Engineering
Contact: Mireille Batton-Hubert, mireille.batton-hubert@mines-stetienne.fr
Mathematics for Decision Support tools based on computational and numerical methods
- Simulation
- Forecasting and optimization for physic processes and industrial systems
- With uncertainty taken into account
Organisation and environmental engineering department
Contact: Valérie Laforest, valerie.laforest@mines-stetienne.fr
Environmental, economic and social performances of production systems and territories
- Environmental assessment
- Sustainable logistic
- Servitization
- Territory resilience
Responsible management and innovation department
Contact : Sandrine Berger-Douce, sandrine.berger-douce@mines-stetienne.fr
Global Performance through Sustainable Innovation
- Collaborative Platforms for Sustainable Innovation CSR
- Innovation and Value Creation in SMEs
- Managerial and Organizational Practices
Platforms
Digital Factory
- IT infrastructure & communicating objects to optimizing production systems approach flexibility and environmental responsibility
Territorial system for decision support
- Simulates the evolution of a spatio- temporal object
- Helps analyze results
- Shows both the evolution of the object of study and selected indicators
Platform for Collaborative Innovation
- To be an Information System for Innovation Systems (with indicators for Sustainable Development and CSR)
- To play a role in Web 2.0 : innovation ontologies, web semantics
- To be a tool to analyse Innovation