Abstract
Robust design ensures product performances to be insensitive to various uncertainties and therefore results in high quality and productivity. Robustness assessment, which evaluates the variability of performances, is an important and indispensable component of robust design. An accurate and efficient robustness assessment is essential for obtaining a real robust solution. The aim of this paper is to investigate features of model-based methods for robustness assessment in terms of accuracy, efficiency, and reliability. Recommendations on the use of those methods are provided based on the comparison study through example problems.
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Huang, B., Du, X. Analytical robustness assessment for robust design. Struct Multidisc Optim 34, 123–137 (2007). https://doi.org/10.1007/s00158-006-0068-0
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DOI: https://doi.org/10.1007/s00158-006-0068-0