Hybrid LSTM-MILP model reduces demand forecasting errors by 12-15% and improves supply chain metrics such as stockouts by 27% on textile datasets.
Relich, Predictive and prescriptive analytics in identifying opportunities for improving sustainable manufacturing, Sustainability 15 (9) (2023) 7667
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Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization
Hybrid LSTM-MILP model reduces demand forecasting errors by 12-15% and improves supply chain metrics such as stockouts by 27% on textile datasets.