AI in quality assurance

Internationally established (automotive) manufacturers have numerous production sites on several continents in various countries. The individual parts are often assembled by the same supplier companies at different production sites. In current corporate practice, when a quality defect occurs in identical parts, production at the corresponding location is stopped and the defect rectification process is started. In parallel, however, production continues at all other sites supplied by the same supplier, usually without knowledge of the problems that have occurred. In this case, the manufacturing company runs the risk of installing parts with quality defects, which can lead to cost-intensive rework or even product recalls. SUSI&James' AI-based solution constantly monitors any production processes and analyzes the impact of quality defects in real time. In the process, stakeholders in potentially affected additional sites are informed instantaneously in their respective languages, alerted to potential risks and suggested mitigation measures. This prevents the installation of defective parts and thus increases quality while reducing costs. Furthermore, cross-site evaluations create transparency and facilitate possible recourse claims.