標題: Robust optimization for engineering design
作者: Kang, Jin-Su
Lee, Tai-Yong
Lee, Dong-Yup
經營管理研究所
Institute of Business and Management
關鍵字: economic robustness;partial mean of costs;lower bound;technical robustness;decision-making
公開日期: 2012
摘要: 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.
URI: http://hdl.handle.net/11536/15869
http://dx.doi.org/10.1080/0305215X.2011.573852
ISSN: 0305-215X
DOI: 10.1080/0305215X.2011.573852
期刊: ENGINEERING OPTIMIZATION
Volume: 44
Issue: 2
起始頁: 175
結束頁: 194
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