Reproducibility of nondominated solutions

Natural process variability and model's uncertainty impact on nondominated solutions reproducibility cannot be ignored to assure that product or process will perform as expected when theoretical results are implemented in productive environments. To help the decision-maker in making more informed decisions when he/she selects a nondominated solution, two metrics are used to assess the predicted variability of nondominated solutions; one of them (the predicted standard error) quantifies the uncertainty in the estimated value for each response, the another one (the quality of predictions) quantifies the uncertainty associated to each generated solution. Supplementary material is provided to help the practitioners in calculating the metric values.