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Title: Efficiency measures and computational approaches for data envelopment analysis models with ratio inputs and outputs
Authors: Olesen, Ole Bent
Petersen, Niels Christian
Podinovski, Victor V.
Keywords: Data envelopment analysis
Ratio measures
Efficiency
Issue Date: 2017
Publisher: © Elsevier
Citation: 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.
Abstract: In 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.
Description: This paper is in closed access until 24th Feb 2019.
Version: Accepted for publication
DOI: 10.1016/j.ejor.2017.02.021
URI: https://dspace.lboro.ac.uk/2134/24427
Publisher Link: http://dx.doi.org/10.1016/j.ejor.2017.02.021
ISSN: 1872-6860
Appears in Collections:Closed Access (Business School)

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