This technology integrates Multi-AI Agents and Digital Twin platforms to address the high-coupling challenges of Heterogeneous Integration. By synergizing three core modules including Capacity Dispatching, Lot-Start Optimization and Cycle Time Prediction to leverage Quantum Annealing and Reinforcement Learning for global orchestration. This data-driven framework shifts manufacturing from experience-based to intelligence-driven, ensuring decision resilience and a competitive Blue Lake advantage.

This technology integrates Multi-AI Agents and Digital Twin for autonomous manufacturing decision-making in heterogeneous integration. By synergizing AI negotiation, quantum optimization, and reinforcement learning-based digital rehearsal, the system achieves 40% higher efficiency and 94% accuracy. Experimental results show 8% throughput improvement and 53% backlog reduction, enabling resilient next-generation smart manufacturing.

This technology integrates digital twins and multi-agent intelligence for heterogeneous integration manufacturing environments, including advanced semiconductor packaging (e.g., CoWoS, FOPLP) and high-end substrates (e.g., ABF). It supports cross-site capacity allocation, high-frequency line-change scheduling, and supply chain risk simulation. Through real-time simulation and intelligent decision-making, the system enhances resource utilization, delivery accuracy, and production resilience.