The “Production Systems” research area focuses on all the components of productive systems throughout the lifecycle of products/services and on production equipment. It therefore covers design, operation, maintenance, internal and external logistics, and recycling.
Research conducted in this area ranges from the development of models to the methods and tools developed through the scientific fields of automation (modeling, system control), computer science (artificial intelligence, computer engineering, information technologies etc.) and operational research (optimization, planning, scheduling etc.).
Challenges in this area are wide-ranging and include :
- Industry 4.0 : incorporating and making best use of the latest advances in computing and artificial intelligence (cloud computing, cybersecurity, collaborative computing, M2M communication, virtual reality, Internet of Things etc.) to adapt and improve existing decision support tools to meet the challenges of Industry 4.0.
- Sustainable development : developing decision support tools (forecast and prediction models, optimization models and methods, simulation etc.) to move towards a circular economy.
- Human aspects : incorporating human beings in decision support models and tools in order to improve their working conditions.
CORENSTOCK Industrial Chair
Lifecycle-oriented design & systematic approach for energy efficiency in heating system storage, co-funded equally by the French National Research Agency (ANR) and elm.leblanc
ASSISTANT
LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring environments, H2020 project in coordination with IMT
IT’mFactory
Technology platform intended to support SMEs, midcaps and microenterprises from the Loire department as they move towards the Industry of the Future. Companies have access to a physical and virtual factory and a cooperative space where companies, researchers and engineering students work together