On August 7, GETECH was invited to attend a semiconductor AI thematic event jointly organized. Mr. Yang Jun, the company's Director of Semiconductor Business Development, participated and delivered a keynote speech titled "AI-Driven Semiconductor Intelligent Manufacturing: New Strategies for Reshaping Human-Machine Efficiency and Quality-Cost." Drawing on over 20 years of practical experience in enabling semiconductor digital transformation, Yang Jun creatively proposed the "Three Transformations, Four Steps" intelligent transformation methodology, emphasizing that "moderate intelligence is the optimal solution for value," which sparked deep resonance within the industry.

In his speech, Yang Jun shared his insights on semiconductor manufacturing trends: strong demand for AI and HPC, increasing process requirements for advanced packaging and wafer manufacturing, and the dual challenges of improving quality while reducing costs in the semiconductor sector. He argued that the semiconductor industry should optimize quality systems and enhance product reliability based on scale and, simultaneously, reduce costs through mass production. Based on GETECH's Full Auto CIM solution for semiconductors and multiple long-term projects empowering leading clients, Yang Jun elaborated on achieving deep application of digital lean management and automated decision-making in digital operations. He also innovatively proposed the "Three Transformations, Four Steps" as the implementation path for semiconductor intelligent transformation. This path accurately articulates the core principles of GETECH's three pillars—"AI + Industrial Software + Intelligent Equipment"—and how their integration empowers the entire process of digital development in semiconductor smart factories.

Specifically, the "Three Transformations, Four Steps" methodology involves the integration of Leanification, Informatization, and Automation to drive the digital collaboration of end-side elements including Man, Machine, Material, Method, Environment, and Measurement (5M1E). It implements a four-stage leap path encompassing Data Connectivity & Automated Control, Business Process Informatization, Actionable Digital Operations, and Intelligent Data Insight. This accelerates the realization of ultimate human efficiency, ultimate yield, and ultimate cost reduction. This path has been continuously validated in GETECH's semiconductor practice. Taking the Data Connectivity & Automated Control step as an example, GETECH built an EAP (Equipment Automation Program) platform based on SEMI standards, achieving "drop and walk" unmanned operation. This assisted a leading power semiconductor enterprise in upgrading key systems like EAP, RMS, and EDA, resulting in a 40% system performance improvement and a significant increase in the human-machine ratio. Yang Jun also detailed a case study on implementing Actionable Digital Operations: GETECH introduced an RTS (Real-Time Scheduler) intelligent scheduling system based on the 5C method (Plan, Organize, Command, Control, Coordinate) for a wafer fab, addressing "high WIP dependency." This led to a 50% year-on-year reduction in unplanned downtime, generating approximately RMB 9.73 million in annual benefits. Nearing the end, Yang Jun shared a case where AI accelerated a semiconductor customer's pursuit of yield goals, illustrating the infinite potential and practical results of AI in accelerating data standardization, monitoring modelization, and comprehensive analysis.

As is well known, semiconductors have always been a strategic industry for GETECH's focused development. In this field, GETECH's self-developed and controllable "AI + CIM + AMHS" solution accelerates domestic substitution, having helped dozens of leading Chinese semiconductor enterprises achieve yield improvement and capacity leaps. Overseas, the company has successively assisted multiple clients in Singapore and Malaysia in completing CIM system construction and deployment, with project delivery cycles far exceeding the market average and achieving 100% customer satisfaction.

Currently, AI technology is permeating from point applications to the entire value chain. GETECH will continue to deepen the application of industrial AI in core semiconductor scenarios such as equipment control and process optimization, building an open semiconductor AI digital intelligence ecosystem. Simultaneously, the company will further accelerate its global layout, focusing on expanding into high-end manufacturing markets in regions such as Southeast Asia and the Middle East.