Predictive risk reduction in supply chains
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When goods like semiconductors and computer chips can’t be delivered on time and economies around the world falter…
The problem
The collapse of supply chains has now reached global proportions. Whether chips or semiconductors, flour or oil, shortages are occurring everywhere, requiring decisive countermeasures. The PAIRS (Privacy-Aware, intelligent and Resilient Crisis Management) research project aims to create transparency and introduce precautionary measures in order to be able to derive targeted measures for anticipatory risk minimization.
Behind a final supply chain from the supplier to the customer are numerous other supply chains. This means that if just one of these chains collapses, the entire process comes to a standstill. The resulting sensitivity extends from raw material extraction to material procurement and includes all logistical imponderables (closure of ports, lack of transport options due to staff shortages, etc.). Last but not least, social and ethical aspects, e.g. due to child labor in the recycling of electronic waste or working conditions in the mining of raw materials, also play a role and must be taken into account in accordance with the Supply Chain Act.
The solution
In the PAIRS project, a service-oriented, open data infrastructure is being developed to predict the emergence and impact of crisis situations. The AI hybrid technology of PAIRS will incorporate both the initial crisis event and the reactions of various actors in a cross-domain data space in order to generate targeted recommendations for action on this basis.
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Benefit from active project participation with many advantages
The joint project PAIRS is funded as an AI lighthouse project within the framework of the “Innovation Competition Artificial Intelligence” by the Federal Ministry of Economics and Climate Protection (BMWK).
