Imagine your entire supply chain had a central brain that could see everything happening in real-time. If a shipment is delayed or a machine breaks, this brain doesn't just alert you; it automatically finds a new partner to fill the gap. It's like a GPS for manufacturing that reroutes your production instantly to avoid traffic jams and crashes.
Manufacturers suffer from production slowdowns and increased costs due to unforeseen supply chain disruptions. Current risk management is reactive and lacks the ability to proactively shift production to alternative partners.
The Intelligent Manufacturing Custodian (IMC), an AI-powered hub that monitors supply chains and automatically reconfigures services via a Digital Twin and Manufacturing-as-a-Service (MaaS) capabilities.
If you are a component supplier dealing with delayed shipments and production slowdowns — this project developed the Intelligent Manufacturing Custodian (IMC) that predicts disruptions and switches services between external partners to maintain continuity.
If you are a manufacturer dealing with unpredictable event costs and output drops — this project developed a Smart Manufacturing Network (SMN) that uses Manufacturing-as-a-Service to dynamically reconfigure production based on real-time risks.
If you are a producer dealing with inefficient energy use and supply chain fragility — this project developed a Digital Twin and AI platform that improves energy efficiency and product circularity across the production process.
Based on available project data, no specific pricing or cost structures are mentioned as the project is currently in the research and development phase.
The project aims to create a Smart Manufacturing Network (SMN) that integrates multiple external partners and uses a logically centralized hub for end-to-end visibility, suggesting a design intended for scale.
Based on available project data, the IP and licensing terms are not specified, though the project involves a consortium of 16 partners including 10 industry members.
The system integrates via IoT devices, sensors, and real-time data from machines to feed the Digital Twin and the Intelligent Manufacturing Custodian.
The project period runs from 2023-12-01 to 2026-11-30, indicating that final results and evaluations will be available toward the end of 2026.
The project has a strong commercial orientation with a 62% industry ratio, comprising 10 industrial partners and 7 SMEs across 7 countries. This heavy industrial presence, balanced by 2 universities and 3 research centers, suggests the output is being designed for immediate practical application rather than theoretical research.
Contact AIDIMME in Spain for technical specifications on the IMC hub.
Contact us to connect with the NARRATE consortium for early adoption pilots.
