Introduction of an Artificial Intelligence Support System for Production Planning in Manufacturing

Intelligent manufacturing for production planning aims at a faster production ramp-up. To advance this target, modified Hopfield neural networks for anomaly detection and classification are introduced. The model also enables recommendations to correct planning data, a similarity measure between production layouts, and interpretable decisions. The model is applied in process planning, synthetic data generation, and Leukemia diagnosis. Further development may achieve a fully autonomous planning.