If you are a component supplier dealing with a sudden factory shutdown — this project developed a Resilience Scoreboard and a MaaS platform that allows you to quickly find and connect to external manufacturing services to fulfill orders.
On-Demand Manufacturing Network to Prevent Production Downtime During Supply Chain Disruptions
Imagine if your factory broke down and you could instantly rent a neighbor's machine through an app to keep your orders moving. Instead of relying on one fixed supplier, this system lets companies swap manufacturing tasks across a wide network of partners. It's like a ride-sharing service, but for industrial production lines and machinery.
What needed solving
Traditional manufacturing chains are too rigid to handle sudden supply shocks or geopolitical instability. When one link breaks, the entire production line stops because companies cannot quickly find alternative production capacity.
What was built
A MaaS platform (alpha version) and a toolkit including a Resilience Scoreboard, risk assessment models, and scenario planning tools.
Who needs this
Who can put this to work
If you are a manufacturer dealing with unpredictable spikes in customer demand — this project developed a toolkit for network reorchestration that lets you scale production by utilizing idle capacity in a value network.
If you are a machine shop dealing with underutilized equipment — this project developed a servitization model that lets you offer your spare manufacturing capacity as a service to other companies.
Quick answers
What is the cost or pricing model for using the MAASive toolkit?
Based on available project data, specific pricing or cost structures are not mentioned; the project focuses on developing the models and platform architecture.
Can this be scaled to a global industrial level?
The project is currently being tested in two use case demonstrators across 6 countries, suggesting a design intended for cross-border value networks.
Who owns the IP and how is licensing handled?
Based on available project data, the IP and licensing terms are not specified, though the project follows Horizon Europe's open science priorities.
How does this integrate with existing factory software?
The project integrates digital tools and simulation models into a platform designed to orchestrate manufacturing services in real time.
What is the timeline for deployment?
The project runs from 2024-01-01 to 2026-12-31, with alpha and beta models already developed in the first 18 months.
Who built it
The consortium is heavily industry-weighted with a 67% industry ratio, comprising 8 companies (including 2 SMEs) and 4 universities. This strong commercial presence across 6 countries (DE, DK, FR, IT, RO, TR) indicates that the resulting toolkit is being built for practical industrial application rather than pure academic research.
Contact Aalborg Universitet in Denmark for technical specifications on the MaaS platform.
Talk to the team behind this work.
Contact us to connect with the MAASive consortium for early access to the Resilience Scoreboard.