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Efficiency measures and computational approaches for data envelopment analysis models with ratio inputs and outputs
journal contribution
posted on 2017-03-16, 09:40 authored by Ole Bent Olesen, Niels Christian Petersen, Victor PodinovskiVictor PodinovskiIn a recent paper to this journal, the authors developed a methodology that allows the incorporation of ratio inputs and outputs in the variable and constant returns-to-scale DEA models. Practical evaluation of efficiency of decision making units (DMUs) in such models generally goes beyond the application of standard linear programming techniques. In this paper we discuss how the DEA models with ratio measures can be solved. We also introduce a new type of potential ratio (PR) inefficiency. It characterizes DMUs that are strongly efficient in the model of technology with ratio measures but become inefficient if the volume data used to calculate ratio measures become available. Potential ratio inefficiency can be tested by the programming approaches developed in this paper.
History
School
- Business and Economics
Department
- Business
Published in
European Journal of Operational ResearchVolume
261Issue
2Citation
OLESEN, O.B., PETERSEN, N.C. and PODINOVSKI, V.V., 2017. Efficiency measures and computational approaches for data envelopment analysis models with ratio inputs and outputs. European Journal of Operational Research, 261 (2), pp. 640-655.Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2017-02-16Publication date
2017-02-24Notes
This paper was accepted for publication in the journal European Journal of Operational Research and the definitive published version is available at http://dx.doi.org/10.1016/j.ejor.2017.02.021ISSN
1872-6860Publisher version
Language
- en