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Circular Project - Designing circular industrial systems for the Industry of the Future

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The Circular project is coordinated by G-SCOP laboratory and gathers together 12 reserach teams and 3 technological platforms from Engineering sciences, Informatics and Mathematics, and Human and Social Sciences.

The project is funded by Idex Université Grenoble Alpes and its duration is of four years.

Project leader : Peggy Zwolinski

- Objectives
The project aims at developing reliable circular industrial systems able to transform post-used products into new added-value products. The consortium will build the right conditions, as well as the new digital technologies required for creating largescale circular production systems. Circular will contribute to the development of methods and technologies for the Industry of the Future paradigm and to their implementations.

- Challenges
Industrial systems will have to face the main Industry of the Future challenges :
resource scarcity, energy efficiency, customization expectations, job quality
required by the fourth industrial revolution, etc. This project will show that circular
industrial systems give companies the ability to propose new high-added-value
products while minimizing the use of material and energy resources. As an example,
batteries in the automotive sector (800,000 tons/year on the european market)
can be transformed into batteries for other electical equipments, benefiting the
80% of the non-used performance. To achieve this, circular industrial systems
will have to be really agile facing different scientific obstacles as the real human/
machine collaboration, the implementation of the numerical solutions, and the
design and implementation of the new necessary organizations.

- Interdisciplinary
This project gathers 12 research teams and 3 technological platforms from
Engineering Sciences, Informatics and Mathematics, and Human and Social
Sciences that will work together to tackle the pluridisciplinary scientific
challenges addressed by the Industry of the Future. Indeed, it is necessary to
build a scientific community able to use the innovations related to the numerical
sciences and technologies (big data, cloud computing, Internet of Things, virtual/
augmented reality ...), while considering the role of Humans in the industry, as
well as the new professions within the organization of future industries.