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cs.AI2026
Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework
So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara +1
Efficient management of spare parts inventory is crucial in the automotive aftermarket, where demand is highly intermittent and uncertainty drives substantial cost and service risk…
cs.AI2025
Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting
Mateusz Å»arski, SÅawomir Nowaczyk
This paper introduces a novel approach to Dynamic Artificial Neural Networks (D-ANNs) for multi-task demand forecasting called Neuroplastic Multi-Task Network (NMT-Net). Unlike con…