The article discusses a new method for efficiently solving complex problems in designing biological and chemical processes. The researchers developed a framework called the point estimation method, which balances accuracy and computational cost. They used statistical techniques to handle uncertainties and constraints in the optimization process. By applying this method to real-world scenarios, such as designing heating/cooling profiles and optimizing feeding profiles for fermentation processes, the researchers showed that their approach can successfully tackle challenging problems in model-based design for (bio)chemical processes.