The "PLM of the Future" chair, launched in 2017, has been renewed for a further five-year period, from January 2025 to 2030. Supported by Arts et Métiers, Capgemini Engineering, the LCPI (Product Design and Innovation Laboratory) and the LISPEN (Physical and Digital Systems Engineering Laboratory), this chair aims to anticipate industrial needs in terms of digital continuity and accelerate innovation focused on the product lifecycle.

Research areas

The research conducted within the framework of this chair will address three major challenges facing Product Lifecycle Management (PLM) in the future:

• Managing growing data volumes: Faced with an explosion in the amount of information to be processed, researchers will explore new methods to optimize its collection, organization, and use.
• Information heterogeneity: The objective is to develop tools that enable better integration and harmonization of different data sources within industrial systems.
• Sustainability of technological choices: The chair will also focus on responsible and sustainable solutions to address environmental and societal challenges.

Training and skills development

Beyond research, this chair also contributes to training the experts of tomorrow. More than 150 Capgemini Engineering employees have already benefited from the AMTalents program, and the chair also supports researchers with three completed theses and two in progress.

For more information 

PARTNERS 

Capgemini- Carnot Arts Institute

Contacts

SCIENTIFIC FRAMEWORK 

The CREATE ID International Chair in Teaching and Research between Arts et Métiers ESI Group, a leading provider of Virtual Prototyping software and services specializing in materials physics, focuses on several areas of research related to the industry of the future: 

• Real-time simulation of production stages based on physics models (via model reduction),
• Modeling and simulation driven by data (heterogeneous and not necessarily massive) and artificial intelligence techniques (Engineered Artificial Intelligence)
• The hybridization of these two components to define different types of digital twins, where data is used to enrich models, and models are used to make data more intelligent, with the aim of predicting the behavior of a material/process/component-structure/system throughout its lifetime.

This research can be applied in several sectors: automotive, aeronautics, naval, metallurgy, health, etc. The Chair will also aim to develop engineering training and education in these areas of research. 

PARTNERS 

ESI Group

CONTACT