NARRATE develops an AI-based tool to enhance resilience in manufacturing and logistics. The Intelligent Manufacturing Custodian (IMC) acts as a nerve center, using data for proactive decision-making and real-time monitoring. IMC integration transforms supply chains into Smart Manufacturing Networks (SMNs) capable of withstanding disruptions. A Digital Twin represents SMN data, training machine learning models to predict disruptions. AI algorithms provide real-time reporting on a dashboard.
INSA Challenge:
Transport : Structures, Infrastructures et Mobilités
Partners:
AIDIMME – Instituto Tecnológico
Scientific Academy for Service Technology
FRAUNHOFER
BRUNEL UNIVERSITY LONDON
SAG Software
F6S Network
Synesis
Fagama Investment Sociedad Limitada
DHL
Nunsys
BUDATEC
MICUNA
Funding Institution:
COMMISSION EUROPEENE
Dates - Duration:
2023-12-01 00:00:00 to 2026-11-01 00:00:00
Funding:
5611566
Contact:
armand.baboli@insa-lyon.fr
Chapo:
NARRATE aims to strenghten manufacturing resilience by developing an AI-based tool, the Intelligent Manufacturing Custodian (IMC), integrating Digital Twin and IoT technologies to predict and manage disruptions, while transforming supply chains into Smart Manufacturing Networks (SMNs).
Submitted by lgaillard1 on Tue, 01/10/2023 - 07:28
Keywords:
AI
MATERIALS
AI AND HIGHTHROUGH METHODS ASSISTED DESIGN OF POLYMERS
Project Leader:
CNRS
INSA’s scientific leader:
Jean-François GERARD
With a worldwide production of nearly 380 million tons per year, polymer materials play a central role in our modern society. They are used in the manufacture of innumerable daily-life products, or as more sophisticated compounds in medicine, diagnostics, and fine chemistry. However, economical and new societal constraints require a more rational design and alternative synthesis, formulation and processing methods for polymer manufacturing to meet the need for greater sustainability, more virtuous end-of-life management, while maintaining optimal performances in application.
INSA Challenge:
Environnement : Milieux naturels, Industriels et Urbains
Partners:
INSA LYON - IMP
UNIVERSITE DE BORDEAUX
INRAE
Funding Institution:
PIA ANR
Dates - Duration:
2022-10-01 00:00:00 to 2026-10-01 00:00:00
Funding:
2143000
Contact:
jean-francois.gerard@insa-lyon.fr
Chapo:
Discover innovative polymer materials in a different way! Combining accelerated generation and characterisation with artificial intelligence
Submitted by Anonyme (not verified) on Tue, 05/10/2022 - 11:13
Keywords:
FEDERATED LEARNING
AI
IA digne de confiance avec apprentissage fédéré fiable et préservation de la confidentialité des données utilisateur
Project Leader:
INSA LYON
INSA’s scientific leader:
Antoine BOUTET
Described as the "fuel of the digital era", personal and private data is the fuel of all desires. Collected, analyzed and exploited, users’ data offer unprecedented opportunities for innovation, but raise real concerns about data privacy. The emergence of AI enabled-applications accentuates data privacy issues.