Digital Twins for Industrial System Industrial Chair

Towards a new generation of interconnected intelligent systems for industry.

The Digital Twins for Industrial System Industrial Chair is part of the Institut Mines-Télécom research programme to support the digital transformation of complex industrial systems. Led by three IMT schools—Mines Saint-Étienne, IMT Mines Albi, and IMT Mines Alès—it aims to develop interoperable, data-driven digital twins, in close alignment with industrial needs.

Objectives of the Chair

  • Develop multi-scale digital models to accurately represent industrial systems throughout their lifecycle.
  • Integrate field data into digital twins to improve reliability, prediction, and decision-making.
  • Design open, scalable, and interoperable digital twins.
  • Support companies in the digitalization of their processes (design, production, maintenance, logistics).

Research and Academics Themes

The chair involves several disciplines:

  • Modeling of complex systems
  • Data engineering and artificial intelligence
  • Interoperability of industrial systems
  • Simulation, optimization, and real-time control

Associated Academics

  • Involvement of students in R&D projects and final-year internships
  • Supervision of CIFRE theses and post-doctoral fellowships
  • Active participation of faculty researchers in the development of educational modules on digital twins

Partners and Collaborations

This chair is supported by:

  • Fondation Mines-Télécom
  • Siemens Digital Industries Software
  • Pierre Fabre Laboratories
  • Inoprod

It relies on the combined expertise of the three partner schools and the direct involvement of industrial partners to anchor research in concrete use cases.

Projects and Achievements

  • Development of digital twins for production lines and logistics systems
  • Implementation of simulation platforms integrated with field data
  • Creation of decision-making tools focused on the product lifecycle
  • Organization of scientific and technical seminars with industrial partners
  • Publication of work in international journals and conferences in industrial engineering, cyber-physical systems, and AI

Benefits for Students and Industry

For Students

  • Immersion in a high-level applied research project
  • Acquisition of in-demand skills (digitalization, AI, systems engineering)
  • Opportunities for internships, theses, and direct collaboration with industrial partners

For Industry

  • Access to scientifically validated tools and models
  • Reduction of development and maintenance times
  • Better control of operational risks
  • Co-development of high value-added innovations
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Scientific Director

Innovation