Kenaka, Saskia Puspa; Cakravastia, Andi; Ma'ruf, Anas; … - In: Logistics 9 (2025) 1, pp. 1-25
Background: Accurate inventory management of intermittent spare parts requires precise demand forecasting. The sporadic … forecasting research for intermittent spare parts. Methods: The proposed model incorporates the Synthetic Minority Oversampling … addressing data imbalance and improving the prediction of intermittent spare part demand, providing a valuable tool for inventory …