dc.contributor.author |
Ehrgott, M |
en |
dc.contributor.author |
Hasannasab, Maryam |
en |
dc.contributor.author |
Raith, Andrea |
en |
dc.date.accessioned |
2019-10-05T07:49:25Z |
en |
dc.date.issued |
2019-05 |
en |
dc.identifier.issn |
1099-1360 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/48385 |
en |
dc.description.abstract |
Data envelopment analysis is a linear programming‐based operations research technique for performance measurement of decision‐making units. In this paper, we investigate data envelopment analysis from a multiobjective point of view to compute both the efficient extreme points and the efficient facets of the technology set simultaneously. We introduce a dual multiobjective linear programming formulation of data envelopment analysis in terms of input and output prices and propose a procedure based on objective space algorithms for multiobjective linear programmes to compute the efficient frontier. We show that using our algorithm, the efficient extreme points and facets of the technology set can be computed without solving any optimization problems. We conduct computational experiments to demonstrate that the algorithm can compute the efficient frontier within seconds to a few minutes of computation time for real‐world data envelopment analysis instances. For large‐scale artificial data sets, our algorithm is faster than computing the efficiency scores of all decision‐making units via linear programming. |
en |
dc.publisher |
Wiley |
en |
dc.relation.ispartofseries |
Journal of Multi-Criteria Decision Analysis |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
A Multi-objective Optimisation Approach to Compute the Efficient Frontier in Data Envelopment Analysis |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1002/mcda.1684 |
en |
pubs.issue |
3-4 |
en |
pubs.begin-page |
187 |
en |
pubs.volume |
26 |
en |
dc.rights.holder |
Copyright: The author |
en |
pubs.end-page |
198 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
773617 |
en |
pubs.org-id |
Business and Economics |
en |
pubs.org-id |
Accounting and Finance |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Engineering Science |
en |
pubs.record-created-at-source-date |
2019-06-04 |
en |