AINeutralarXiv – CS AI · 18h ago6/10
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Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management
Researchers developed a hybrid CNN-LSTM deep learning model for coffee supply chain demand forecasting, achieving 90% accuracy and outperforming benchmarks by 12-30%. This forecasting feeds a multi-objective optimization system that simultaneously minimizes costs and emissions while maximizing product freshness in circular supply chains, demonstrating that sustainability policies can reduce emissions by 22.4% with minimal cost overhead.