A powerful discriminative approach for selecting the most efficient unit in DEA

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10240991" target="_blank" >RIV/61989100:27510/18:10240991 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.cie.2017.11.011" target="_blank" >http://dx.doi.org/10.1016/j.cie.2017.11.011</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cie.2017.11.011" target="_blank" >10.1016/j.cie.2017.11.011</a>

Result language

angličtina

Original language name

A powerful discriminative approach for selecting the most efficient unit in DEA

Original language description

Data envelopment analysis (DEA) is a mathematical approach deals with the performance evaluation problem. Traditional DEA models partition the set of units into two distinct sets: efficient and inefficient. These models fail to get more information about efficient units whereas there are some applications, known as selection-based problems, where the concern is selecting only a single efficient unit. To address the problem, several mixed integer linear/nonlinear programming models are developed in the literature using DEA. The aim of all these approaches is formulating a model with more discriminating power. This paper presents a new nonlinear mixed integer programming model with significantly higher discriminating power than the existing ones in the literature. The suggested model lets the efficiency score of only a single unit be strictly greater than one. It is observed that the discrimination power of the model is high enough for fully ranking all units. More importantly, a linearization technique is used to formulate an equivalent mixed integer linear programming model which significantly decreases the computational burden. Finally, to validate the proposed model and also compare with some recent approaches, two numerical examples are utilized from the literature. Our founding points out the superiority of our model over all the previously suggested models from both theoretical and practical standpoints.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10102 - Applied mathematics

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computers and Industrial Engineering

ISSN

0360-8352

e-ISSN

—

Volume of the periodical

115

Issue of the periodical within the volume

January

Country of publishing house

GB - UNITED KINGDOM

Number of pages

9

Pages from-to

269-277

UT code for WoS article

000425075400022

EID of the result in the Scopus database

2-s2.0-85035787080