Please use this identifier to cite or link to this item: https://doi.org/10.1080/0305215X.2011.573852
Title: Robust optimization for engineering design
Authors: Kang, J.-S.
Lee, T.-Y.
Lee, D.-Y. 
Keywords: decision-making
economic robustness
lower bound
partial mean of costs
technical robustness
Issue Date: Feb-2012
Source: Kang, J.-S., Lee, T.-Y., Lee, D.-Y. (2012-02). Robust optimization for engineering design. Engineering Optimization 44 (2) : 175-194. ScholarBank@NUS Repository. https://doi.org/10.1080/0305215X.2011.573852
Abstract: This study proposes a robust optimization model to handle uncertainty during the process design stage, together with a decision-making procedure. Different robustness concepts are presented to describe the characteristic, either economic or technical, of a given variable in the model. Among economic robustness measures, partial mean of costs is analysed to address its intrinsic problem of excessive variability of performance with respect to the change of values in its parameters. To resolve it, a novel formulation of robust economic optimization is derived, providing a conceptual framework for suggesting a proper range of parameter values. Then, the model is further extended to consider technical robustness as well. Lastly, the decision-making procedure is presented using the proposed nadir vector which is computationally inexpensive and also useful in selecting a final solution. The applicability of the model was successfully demonstrated by applying it to process design examples. © 2012 Taylor and Francis Group, LLC.
Source Title: Engineering Optimization
URI: http://scholarbank.nus.edu.sg/handle/10635/64530
ISSN: 0305215X
DOI: 10.1080/0305215X.2011.573852
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