Robust DEA to assess the reliability of methyl methacrylate-hardened hybrid poplar wood

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• 作者：Dexiang Wu ; WeiDan Ding ; Ahmed Koubaa ; Abdelkader Chaala…
• 关键词：Hybrid poplar ; Hardening ; Methyl methacrylate (MMA) ; Data envelopment analysis (DEA) ; Uncertainty ; Robust optimization
• 刊名：Annals of Operations Research
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：248
• 期：1-2
• 页码：515-529
• 全文大小：
• 刊物类别：Business and Economics
• 刊物主题：Operation Research/Decision Theory; Combinatorics; Theory of Computation;
• 出版者：Springer US
• ISSN：1572-9338
• 卷排序：248

文摘

We transformed a data envelopment analysis (DEA) optimization model into a robust second-order cone equivalent to immunize against output perturbation in an uncertainty set. The robust DEA framework was then used to assess the effect of a wood hardening treatment using methyl methacrylate (MMA) on selected hybrid poplar clones. Because the performance of MMA-hardened hybrid poplar clones varies across clones, ranking hardened clones is crucial for developing hardening treatments for specific industrial applications. The numerical results demonstrate that the hardening treatment can be optimized by applying the proposed DEA framework to select the best hybrid poplar clone types and the optimal amount of impregnated chemicals.