Identifying Pareto-efficient projection of Super-SBM with undesirable outputs: One model approach
Hsuan-Shih Lee
Journal of the Operational Research Society, 2023, vol. 74, issue 7, 1730-1745
Abstract:
Traditionally, the Super-SBM model must be computed in two stages in contrast to the computation of super-efficiency in radial measures. Moreover, the super-efficiency obtained by Super-SBM might be overestimated due to the inefficient projection. In the current paper, we propose an integrated Super-SBM model that can deal with undesirable outputs and identify the Pareto-efficient projection such that the super-efficiency is not overestimated and accounts for all slacks.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2022.2110003 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjorxx:v:74:y:2023:i:7:p:1730-1745
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20
DOI: 10.1080/01605682.2022.2110003
Access Statistics for this article
Journal of the Operational Research Society is currently edited by Tom Archibald
More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().