AI for Design and Manufacturing toward Digital Transformation
[CFAR Distinguished Professor Lecture Series]
AI for Design and Manufacturing toward Digital Transformation (Hybrid Event) by Professor Kim Sang Gook
22 Aug 2022 | 11.00am (Singapore Time)
Co-organised by A*STAR Centre for Frontier AI Research (CFAR) and Singapore Institute of Manufacturing Technology (SIMTech)
Digital transformation is an enterprise view of “smart manufacturing” or “Industry 4.0” which aims to optimise the entire product development process by integrating individual steps of the value-adding chain of the business with meaningful data sharing and cross-organisational communication. However, the current practices of collecting, structuring, and sharing of data in a product life cycle (from marketing, design, manufacturing, sales to service, and so on) result in isolated and siloed data platforms which hinder true digital transformation of a factory. One of the two major barriers for the data integration is the top-down decision push structure of most organisations, while the other is the absence of data representation tools for archiving product development decisions, including functional descriptions of design. Cross industry studies show that on average, less than half of an organisation’s structured data is actively used in making decisions and less than 1% of its unstructured data is analysed or used at all.
In this talk, Prof Kim Sang-Gook will present a novel approach on how to represent conceptual and decision reasoning data that AI tools can semantically understand, store, and retrieve when necessary. The integrated use of big decision reasoning data across the product life cycle will enable true digital transformation of the factory.
AI for Design and Manufacturing toward Digital Transformation (Hybrid Event) by Professor Kim Sang Gook
22 Aug 2022 | 11.00am (Singapore Time)
Co-organised by A*STAR Centre for Frontier AI Research (CFAR) and Singapore Institute of Manufacturing Technology (SIMTech)
Digital transformation is an enterprise view of “smart manufacturing” or “Industry 4.0” which aims to optimise the entire product development process by integrating individual steps of the value-adding chain of the business with meaningful data sharing and cross-organisational communication. However, the current practices of collecting, structuring, and sharing of data in a product life cycle (from marketing, design, manufacturing, sales to service, and so on) result in isolated and siloed data platforms which hinder true digital transformation of a factory. One of the two major barriers for the data integration is the top-down decision push structure of most organisations, while the other is the absence of data representation tools for archiving product development decisions, including functional descriptions of design. Cross industry studies show that on average, less than half of an organisation’s structured data is actively used in making decisions and less than 1% of its unstructured data is analysed or used at all.
In this talk, Prof Kim Sang-Gook will present a novel approach on how to represent conceptual and decision reasoning data that AI tools can semantically understand, store, and retrieve when necessary. The integrated use of big decision reasoning data across the product life cycle will enable true digital transformation of the factory.
SPEAKER
Professor Kim Sang-Gook
Massachusetts Institute of Technology
Massachusetts Institute of Technology
Prof Kim Sang-Gook is a full professor in the Department of Mechanical Engineering. He received his B.S. degree from Seoul National University (1978), M.S. from Korea Advanced Institute of Science & Technology (KAIST) (1980), and Ph.D. from Massachusetts Institute of Technology (MIT) (1985). He held positions at Axiomatics Co., Cambridge, MA (1986) and Korea Institute of Science and Technology (1986-1991). He then became a corporate executive director at Daewoo Corporation, Korea, and directed the Central Research Institute of Daewoo Electronics Co. until he joined MIT in 2000. Prof. Kim’s research has been in the field of product realisation throughout his career in both the industry and academia. His research interests include piezoelectric MEMS energy harvesting, nano-engineered energy conversion devices, solar absorbers and most recently, AI for design and Manufacturing. He is currently the Advisory Board Chair of the Engineering Design Pillar in the Singapore University of Technology and Design (SUTD). He is a fellow of CIRP (International Academy for Production Engineering), fellow of the American Society of Mechanical Engineers (ASME), and overseas member of Korean National Academy of Engineering.
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