Imagine your delivery network is like a series of pipes; when a disaster hits, some pipes burst. This work creates a map to find the fastest way to fix those pipes while making sure the repair process doesn't pollute the environment. It helps companies keep goods moving during wars or floods without destroying the planet.
Global supply chains relying on just-in-time production are highly vulnerable to pandemics, wars, and climate disasters. Companies currently struggle to recover from these shocks without significantly increasing their environmental footprint.
A set of quantitative indicators and models that measure both a transport network's ability to withstand disruptions and its environmental impact across three geographical scales.
If you are an international shipping firm dealing with route closures due to wars or pandemics — this project developed models that quantify system resistance and environmental burden. This allows you to switch transport modes quickly while keeping carbon emissions low.
If you are a port authority dealing with natural hazards caused by climate change — this project developed a way to measure how quickly your network recovers. This helps you prioritize repairs that offer the best balance of speed and sustainability.
If you are a consultancy dealing with just-in-time production risks — this project developed a common set of indicators to measure green resilience. You can use these to advise clients on synchro-modal approaches to avoid total system collapse.
Based on available project data, there is no pricing or cost information provided for the resulting models.
The project tests three scales: regional (Italy), national (Spain/Portugal), and international (Northern/Central Europe), suggesting the logic is designed for various scales of operation.
Based on available project data, specific licensing terms are not mentioned, though results will be disseminated to the scientific community and industry partners.
The project specifically engages traffic and infrastructure management groups to ensure the developments meet practical needs for operational logistics.
The project is scheduled to run from 2023-06-01 to 2026-05-31.
The project is led by Fraunhofer, a major applied research entity, and features a strong industrial lean with 6 companies making up 40% of the 15-partner group. The geographical spread across 8 European countries ensures the models are tested against diverse regulatory and physical environments, from Mediterranean natural hazards to Central European geopolitical disruptions.
Contact Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung EV
Contact us to connect with the SARIL consortium for early access to green resilience indicators.
