Checking whether preferred solutions remain acceptable when assumptions or data are varied within plausible ranges.
Robustness testing applies combinations of alternative scenarios, sensitivities and constraint settings to see how stable preferred options are. A development plan or operating policy is considered robust if its performance remains satisfactory across a wide range of plausible conditions, not just under a single central case.
