Capacity Prediction, Cost Reduction and Efficiency Improvement Optimization for Mold Enterprises Based on LSTM-RF Ensemble Learning
To address challenges such as significant capacity fluctuations, low scheduling efficiency, and crude cost control in plastic mold manufacturing facilities, this study proposes an integrated forecasting framework that combines Lonag Short-Term Memory (LSTM) networks with Random Forest (RF) models, integrating greedy sc...