Strengthening Manufacturing Competitiveness via a Manufacturing AI Factory
Session Overview
Manufacturing—once run mainly by conveyors, belts, and mechanical equipment—is undergoing a fundamental, rapid shift toward software-centric operations. In particular, AI, digital twins, data, and software-defined engineering are accelerating transformation not only in production methods but also in business models—from selling products to service-oriented manufacturing.
Executive Director Min will outline the paradigm shift for factories, arguing that moving to software-centric operations is not optional but essential for survival. He will present SDF case studies and strategies, and propose a roadmap for advancing Physical AI to strengthen manufacturing competitiveness.
Outline:
- Strategies and application cases for how Physical AI can enhance competitiveness in automotive manufacturing
- What is an SDF (Software-Defined Factory)?
- SDF case study: HMGICS (Hyundai Motor Group Innovation Center Singapore)
- SDF rollout strategy and expected impact
Speaker
Executive Director Min has built deep expertise across software for the semiconductor, display, and automotive manufacturing domains, grounded in both research and hands-on industry experience. His background includes roles at IBM T.J. Watson Research Center, Samsung Electronics Semiconductor R&D, DIT Center, Innovation Center, and SSIT (Samsung Advanced Institute of Technology) as a visiting professor. He later served at LG Display as CTO, VP, and Technology Fellow, leading core technology initiatives. He is now at Hyundai Motor/Kia, where he is spearheading a paradigm shift in vehicle development through manufacturing software and AI, and leading the SDF (Software-Defined Factory) innovation strategy. He also plays a key role in guiding the broader digital transformation of the future mobility industry.