AI-Driven Spare Parts Optimisation for Smart Manufacturing: A Predictive Decision-Support Framework for Saudi Arabian Industries
In asset-intensive manufacturing, spare-parts demand is irregular, equipment condition changes over time, and conventional reorder rules may not exploit enterprise and machine data. This article examines how artificial intelligence can connect demand forecasting, asset-health information and inventory decisions within...