Process optimization involves fine-tuning reaction conditions such as temperature, pressure, and reactant concentrations to maximize yield and minimize costs. Techniques like Design of Experiments (DoE) can be employed to systematically explore the effects of different variables. Additionally, real-time monitoring and automation can be used to continuously adjust conditions for optimal performance.
