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A transformative approach to manufacturing optimization, focusing on the textile forming process. This research synergizes domain-specific knowledge with simulation modeling and introduces Bayesian optimization for efficient parameter space exploration.
The prototype, CemGenie, is a Generative AI–powered platform designed to autonomously optimize cement plant operations. It integrates real-time process data from raw material handling, grinding, clinkerization, and utilities into a unified AI control layer.
Research companion: Heuristic scheduling strategies for single-reactor pharmaceutical batch production under uncertainty. Statistical analysis (JASP) + visualization (Python). Dataset, scripts, and JASP files included.