Manufacturing and logistics companies are subject to unforeseen events that disrupt the supply chain, causing production slowdowns, reduced output, and increased costs, making it difficult to meet customer demand. To mitigate these risks, manufacturers must build resilience across entire value chains.
NARRATE will develop a sophisticated tool using AI, Digital Twin, and IoT technologies allowing end-to-end visibility and control over supply chain operations to monitor and predict potential disruptions, enabling supply chains to achieve improved resilience.
The Intelligent Manufacturing Custodian (IMC) will leverage data from various production sources to enable proactive decision-making and act as a nerve centre for a supply-chain network, providing real-time monitoring and coordination of intelligent production processes and logistics.
Integrating an IMC into a supply-chain will evolve its operations into Smart Manufacturing Network (SMN): a connected and self-orchestrated ecosystem linked end-to-end with programmable Manufacturing-as-a-Service capabilities that can withstand disruptions.
A Digital Twin will provide a reliable model to represent production and operational data of an SMN to unlock deeper IMC intelligence. Collected data will train machine learning models to predict potential disruptions, such as natural disasters or delayed shipments. AI algorithms will analyse the data and provide real-time reporting and visualization on a dashboard.
The IMC and Digital Twin interaction will generate powerful insights and self-adapting abilities that support an SMN to evolve under human supervision by switching services between multiple external partners to respond to risks and disruptions and improve energy efficiency, product circularity and environmental sustainability across the entire production process.
The effectiveness of NARRATE will be evaluated by testing the IMC in real production environments in quite diverse industry sectors.
| Web resources: | https://cordis.europa.eu/project/id/101138094 |
| Start date: | 01-12-2023 |
| End date: | 30-11-2026 |
| Total budget - Public funding: | 5 611 566,00 Euro - 5 611 566,00 Euro |
EFFRA Innovation Portal
Original description
Manufacturing and logistics companies are subject to unforeseen events that disrupt the supply chain, causing production slowdowns, reduced output, and increased costs, making it difficult to meet customer demand. To mitigate these risks, manufacturers must build resilience across entire value chains.NARRATE will develop a sophisticated tool using AI, Digital Twin, and IoT technologies allowing end-to-end visibility and control over supply chain operations to monitor and predict potential disruptions, enabling supply chains to achieve improved resilience.
The Intelligent Manufacturing Custodian (IMC) will leverage data from various production sources to enable proactive decision-making and act as a nerve centre for a supply-chain network, providing real-time monitoring and coordination of intelligent production processes and logistics. Integrating an IMC into a supply-chain will evolve its operations into Smart Manufacturing Network (SMN): a connected and self-orchestrated ecosystem linked end-to-end with programmable Manufacturing-as-a-Service capabilities that can withstand disruptions.
A Digital Twin will provide a reliable model to represent production and operational data of an SMN to unlock deeper IMC intelligence. Collected data will train machine learning models to predict potential disruptions, such as natural disasters or delayed shipments. AI algorithms will analyse the data and provide real-time reporting and visualization on a dashboard.
The IMC and Digital Twin interaction will generate powerful insights and self-adapting abilities that support an SMN to evolve under human supervision by switching services between multiple external partners to respond to risks and disruptions and improve energy efficiency, product circularity and environmental sustainability across the entire production process.
The effectiveness of NARRATE will be evaluated by testing the IMC in real production environments in quite diverse industry sectors.
Status
SIGNEDCall topic
HORIZON-CL4-2023-TWIN-TRANSITION-01-07Update Date
29-01-2024
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| AIDIMME - Instituto Tecnológico Metalmecánico, Mueble, Madera, Embalaje y Afines (Coördinator)
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| BRUNEL UNIVERSITY LONDON
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| BUDATEC GMBH
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| DHL EXEL SUPPLY CHAIN SPAIN SL
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| F6S NETWORK IRELAND LIMITED (F6S)
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| INSAVALOR SA
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| INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON
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| MICUNA S.L.
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| NUNSYS SA
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| SCIENTIFIC ACADEMY FOR SERVICE TECHNOLOGY EV
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| SOFTWARE AG
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| Synesis