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The findings indicate that ensemble and deep learning models outperform conventional statistical methods, offering scalable, intelligent, and data-driven forecasting solutions that enhance business performance and strategic decision-making.
Findings show transforming her supply chains with digital capabilities allows having better disruption preparedness, led to lower recovery time, and enhanced decision-making quality.
Results show that Digital Twin-based predictive control can be an important technological basis for next-generation intelligent manufacturing environments, and future directions towards autonomous self-optimizing manufacturing systems are discussed.
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