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New Ren Jie

Marketing Manager

System & Software

Emerson Automation Asia Pacific

Education

Bachelor of Engineering, Nanyang Technological University
Microsoft Certified Software Solution Architect

Experience

Solution Consultant specializing in AI/ML for asset management and energy/process optimization. Solution Architect for AI/ML and IT/OT integration projects in the Asia region, serving clients such as PTTGC, Petronas, Mitsubishi, and Sanofi.
Key areas of expertise: AI/ML for energy management, empowering operators through mobility and AR, combining rule-based and data-driven analytics for asset health management, IT/OT data integration and big data management.
Developed the world's first semiconductor wafer test management system for TSMC. Enabled engineers to design test chips, wafer maps, chip plans, test plans, limit specifications, and test specifications through a graphical web interface.

Speech Title and Abstract

Driving Yield and Sustainability through Autonomous FMCS

As semiconductor fabs pursue greater yield, efficiency, and sustainability, the Facility Monitoring and Control System (FMCS) must evolve into an intelligent, autonomous operation platform that ensures stable and efficient utility delivery. Advanced control strategies—such as Adaptive Advanced Process Control (Adaptive APC), Online Utility Digital Twins, Process Analytical Technologies (PAT), and State-Based Control—can be layered onto existing control systems to significantly enhance FMCS performance.
Adaptive APC enables stable and energy-efficient control operation of critical utilities such as chilled water, compressed air, exhaust, and ultra-pure water (UPW), even under fluctuating tool demand and environmental conditions. When paired with a high-fidelity online utility digital twin that continuously optimizes utility generation and distribution, the system forms a closed-loop, self-optimizing plant that drives down energy consumption and emissions. Process Analytical Technology (PAT) on the other hand uses real-time spectroscopy and multivariate analytics to monitor key quality indicators—such as total organic carbon (TOC) in UPW and gas composition in exhaust systems. Embedded within the control system, PAT enables closed-loop adjustments for early deviation correction, enhancing utility quality and protecting yield.
In parallel, state-based control automates transitions across operating states—such as startup, shutdown, and fault recovery—coordinating multiple systems to ensure safe, consistent, and efficient operation. This reduces variability due to operator experience, eliminates human error and alarm flooding, and ensures best practices are consistently enforced.
Together, these technologies improve the stability of utility systems, reduce energy consumption and minimize operator intervention. Ultimately, an autonomous FMCS contributes to yield improvement and sustainable operations critical for next-generation semiconductor manufacturing.

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