With the "Hidden Problem Detector," the Smart Service Engineering research department demonstrates a model for identifying hidden problems in supply chains from the PAIRS (Privacy-Aware, Intelligent and Resilient CrisiS Management) project. PAIRS pursues the development of a learning platform for crisis management that combines AI and human intelligence. The AI hybrid technologies are designed to anticipate both the initial crisis event and the reactions of various actors in cross-domain data space to generate targeted recommendations for action.

The Hidden Problem Detector is a model for graph-theoretic analysis of component criticality to detect hidden problems in supply chains. For this purpose, BOM data is automatically converted into a knowledge graph, semantically enriched and fed with historical and current market data, e.g., prices. The model can answer questions such as "Which are critical components?" "Are there changes in delivery times?" or "Are there fluctuations in availability?".

PAIRS is funded by the German Federal Ministry for Economic Affairs and Energy from 1.06.2021 - 31.5.2024 as part of the Innovation Competition for Artificial Intelligence with a total volume of almost €10 million.