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A modified distance friction minimization approach in data envelopment analysis

Javad Vakili (), Hanieh Amirmoshiri (), Rashed Khanjani Shiraz () and Hirofumi Fukuyama ()
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Javad Vakili: University of Tabriz
Hanieh Amirmoshiri: University of Tabriz
Rashed Khanjani Shiraz: University of Tabriz
Hirofumi Fukuyama: Fukuoka University

Annals of Operations Research, 2020, vol. 288, issue 2, No 11, 789-804

Abstract: Abstract A multi-step distance friction minimization (DFM) approach has been developed to assist a decision making unit to improve its efficiency. This approach contracts inputs and expands outputs simultaneously through the minimization of distance friction relative to the strongly efficient frontier based on a weighted Euclidean norm. In this paper, we point out that the DFM approach has a problem by means of two numerical examples and then show how to solve the problem. Using a real data set, we not only confirm the occurrence of this problem inherent in the original formulation, but also demonstrate how our modification works.

Keywords: Data envelopment analysis (DEA); Decision making unit (DMU); Projection; Distance friction minimization (DFM) (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10479-019-03232-z

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