1. A computer-implemented method for evaluating process robustness, wherein the computer performs the following steps comprising: accepting a definition of one or more independent variables of a process-related experiment; receiving experimental results observed after the varying of the one or more independent variables during the process-related experiment; calculating a prediction model from the experimental results for the one or more independent variables, the prediction model capable of generating predicted results; calculating a setpoint for each of the one or more independent variables that optimizes the predicted results to a defined target result; defining the variation around each setpoint under normal operation, the variation comprising a range encompassing each setpoint; calculating a process robustness metric using at least the variation(s) around each setpoint, the prediction model, and the defined target result; and displaying a representation of the process robustness, at least in part using the process robustness metric.