Technical Name Heterogeneous Integration Productivity Optimization via Multi-AI Agent and Digital Twin Technology to Empower More-than-Moore
Project Operator National Tsing Hua University
Project Host 簡禎富
Summary
This technology integrates Multi-AI Agents and Digital Twin platforms to address the high-coupling challenges for heterogeneous integration. By synergizing related core modules including Capacity Allocation, Lot-Start Optimization, and Cycle Time Reduction via Quantum Annealing and Reinforcement Learning technologies for global orchestration of decisions. This solution can enhance smart manufacturing from experience-based to data-driven and AI-empowered to enhance decision resilience and competitive advantage for Blue Lakes Strategy.
Scientific Breakthrough
This technology integrates Multi-AI Agents and Digital Twin for autonomous manufacturing decision-making to empower heterogeneous integration. By synergizing AI negotiation, quantum optimization, and reinforcement learning-based digital rehearsal, the system can achieve 40% higher efficiency and 94% accuracy. The results have shown 8% throughput improvement and 53% backlog reduction to support flexible decisions for smart manufacturing and vertical integration.
Industrial Applicability
This technology will integrate digital twins and multi-agent AI agents to support cross-site capacity allocation, high-frequency line-change scheduling, and supply chain risk simulation to empower heterogeneous integration contexts including IC substrate and advanced packaging. Through real-time simulation and intelligent decision for smart manufacturing, the system can enhance resource utilization, delivery accuracy, and production resilience to enhance vertical integration.
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  • Ying-Yu Lu
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