The article discusses how to design chemical processes effectively even when some information is missing or uncertain. The researchers developed a method to measure how uncertainty affects process design, making it easier to compare different designs. They also created a way to tell if a simulation is not working due to numbers being wrong or because it's physically impossible. This new approach gives more insight into the limitations of a process design.