Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Robust DEA to assess the reliability of methyl methacrylate-hardened hybrid poplar wood
Stockholm University, Faculty of Social Sciences, Stockholm Business School. University of Toronto, Canada.
Show others and affiliations
Number of Authors: 5
2017 (English)In: Annals of Operations Research, ISSN 0254-5330, E-ISSN 1572-9338, Vol. 248, no 1-2, 515-529 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 248, no 1-2, 515-529 p.
Keyword [en]
Hybrid poplar, Hardening, Methyl methacrylate (MMA), Data envelopment analysis (DEA), Uncertainty, Robust optimization
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:su:diva-140387DOI: 10.1007/s10479-016-2201-9ISI: 000392331900021OAI: oai:DiVA.org:su-140387DiVA: diva2:1084771
Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-03-27Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Wu, Dexiang
By organisation
Stockholm Business School
In the same journal
Annals of Operations Research
Economics and Business

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 5 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf