領袖觀點｜賦能百工百業：智慧工廠與GAI驅動下之模具產業戰略新局

面對全球供應鏈重組與人才斷層，模具產業正從經驗依賴轉向科學導向。本論述聚焦工業物聯網（IIoT）、數位雙生（Digital Twin）與生成式AI（GAI）的整合應用，旨在構建具備高度韌性的智慧製造體系，透過IIoT 數據對接數位雙生「設計、監測、診斷、優化」之閉環架構，能精確評估製程風險並縮短開發週期。進一步結合大型語言模型(LLM）與檢索增強生成技術（RAG），將隱性經驗轉化為具備實證基礎的決策資產；並輔以智慧預測性維護（IPdM）估計剩餘壽命（Remaining useful life, RUL），達成零停機目標，透過虛實整合與 AI 深度耦合，臺灣模具業將轉型為高附加價值之技術服務商，奠定全球競爭領先地位。

In response to global supply chain restructuring and the burgeoning talent gap, the mold and die industry is transitioning from an experience-dependent model toward a science-driven paradigm. This discourse examines the integrated application of the Industrial Internet of Things (IIoT), Digital Twins, and Generative AI (GAI) to construct a highly resilient smart manufacturing framework. By leveraging IIoT data to interface with the "Design, Monitoring, Diagnosis, and Optimization" closed-loop architecture of Digital Twins, enterprises can precisely evaluate process risks and accelerate development cycles. Furthermore, the integration of Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) technology facilitates the transformation of tacit expertise into evidence-based decision assets. This is complemented by Intelligent Predictive Maintenance (IPdM) to estimate Remaining Useful Life (RUL), thereby targeting the objective of zero downtime. Through cyber-physical integration and the deep coupling of AI technologies, Taiwan’s mold and die industry is poised to evolve into a high-value-added technical service provider, securing its strategic advantage in the global market.