Session: Modeling, Optimization, and Control in Next-Gen Manufacturing

This session highlights advances in modeling, optimization, and control strategies that enable intelligent, and efficient manufacturing systems. Emphasis is placed on digital transformation approaches—including physics-based modeling, machine learning, process systems engineering, and hybrid methods—that enhance productivity, adaptability, and sustainability in next-generation manufacturing environments. Contributions may address topics such as real-time process monitoring, multiscale modeling, model predictive control, data-driven optimization, and the integration of cyber-physical systems in smart manufacturing. Case studies from sectors including chemical, pharmaceutical, semiconductor, and energy manufacturing are encouraged.