Modular Software-Defined Architecture for Flexible Manufacturing in Smart Factory
Research Seminar Series
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Date
29 May 2026
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Organiser
Department of Industrial and Systems Engineering, PolyU
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Time
14:30 - 15:30
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Venue
BC402
Speaker
Prof. Seung Ki Moon
Remarks
If you have enquiries regarding E-certificate after the seminar, please contact david.kuo@polyu.edu.hk.
Summary
In the era of Industry 4.0, manufacturing systems demand high flexibility, adaptability, and intelligence to meet rapidly changing market demands. The needs have given rise to a Software-Defined Architecture (SDA) concept that decouples key functions from physical hardware, which focuses on swift reconfiguration at the levels of a product, a process, and a factory. Building on SDA concept, I’ll introduces the current status and applications of SDA, which includes Software-Defined Product (SDP), Software-Defined Process (SDPr), and Software-Defined Factory (SDF). SDP dynamically models and reconfigures products and enables efficient evaluation and optimization of designs without physical prototypes, reducing both development time and costs while boosting adaptability and productivity. Additionally, SDP allows product control to be decoupled from physical hardware and integrates modular digital twins with advanced decision-making algorithms. SDPr reconfigures operational workflows in real-time, enhancing resource allocation and production throughput using robotics and AI. SDPr identifies and mitigates bottlenecks at an early stage, allowing rapid response to dynamic manufacturing conditions by leveraging advanced analytics. Meanwhile, SDF orchestrates plant-level changes, optimizing layout and capacity on demand through Deep Reinforcement Learning (DRL) based simulation. Through continuous monitoring and adaptive scheduling, SDF ensures both minimal downtime and high utilization with these three layers form an intelligent, and flexible manufacturing ecosystem. The proposed SDA framework contributes to bridging the gap between digital and physical manufacturing by integrating advanced system architecture at the product, process, and factory levels, which supports flexible manufacturing in a smart factory environment. Future research directions and limitations in Smart Factory with AI will be discussed.
Keynote Speaker
Prof. Seung Ki Moon
Associate Professor
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Prof. Moon Seung Ki is an Associate Professor and Assistant Chair (Research) at the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. He received his Ph.D. in Industrial Engineering from The Pennsylvania State University in 2008, and his M.S. and B.S. degrees in Industrial Engineering from Hanyang University, South Korea. His research areas include customized and sustainable product-service systems, strategic and multidisciplinary design optimization, advanced modeling and simulation, design for additive manufacturing and 3D printing, embedded sensor design, digital twins, smart factory systems, and sustainable manufacturing.
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