Ranking CCR-efficient units based on the indicator with limited resources

Data Envelopment Analysis (DEA) is one of the most popular techniques for measuring the relative efficiencies of a set of decision making units (DMUs), which use different inputs producing various outputs. Ranking of efficient DMUs is one of the most interesting DEA perspectives. However, there are...

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Main Authors: Amir Reza Khaki, Seyed Jafar Sadjadi, M. Ali Azadeh, Esmaeel Najafi
Format: Article
Language:English
Published: Growing Science 2012-10-01
Series:Decision Science Letters
Subjects:
Online Access:http://www.growingscience.com/dsl/Vol1/dsl_2012_10.pdf
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spelling doaj-b069d7cc4ca346548f56f63138e415202020-11-24T21:29:44ZengGrowing ScienceDecision Science Letters1929-58041929-58122012-10-0112879510.5267/j.dsl.2012.10.001Ranking CCR-efficient units based on the indicator with limited resourcesAmir Reza KhakiSeyed Jafar SadjadiM. Ali AzadehEsmaeel NajafiData Envelopment Analysis (DEA) is one of the most popular techniques for measuring the relative efficiencies of a set of decision making units (DMUs), which use different inputs producing various outputs. Ranking of efficient DMUs is one of the most interesting DEA perspectives. However, there are cases where we see some limitations on available resources and the proposed model of this paper is associated with Indicator with Limited Sources (ILS), which affects ranking methods. The ILS exists as fixed amount in a community and the DMUs can own it with their abilities. When a DMU loses the same amount of the indicator, the rest of the DMUs are able to own some without even changing their capacities of other indicators and or vice versa. If a DMU looks for more of the same amount of the indicator, the rest of the DMUs have to supply it without even changing their capacity of other indicators. This paper develops a ranking method based on the ILS for the efficient DMUs, when there is changes either in inputs/ outputs ILS. The implementation of the proposed model is applied for a case study of banking system.http://www.growingscience.com/dsl/Vol1/dsl_2012_10.pdfIndicator with Limited SourcesData Envelopment AnalysisBanking industry
collection DOAJ
language English
format Article
sources DOAJ
author Amir Reza Khaki
Seyed Jafar Sadjadi
M. Ali Azadeh
Esmaeel Najafi
spellingShingle Amir Reza Khaki
Seyed Jafar Sadjadi
M. Ali Azadeh
Esmaeel Najafi
Ranking CCR-efficient units based on the indicator with limited resources
Decision Science Letters
Indicator with Limited Sources
Data Envelopment Analysis
Banking industry
author_facet Amir Reza Khaki
Seyed Jafar Sadjadi
M. Ali Azadeh
Esmaeel Najafi
author_sort Amir Reza Khaki
title Ranking CCR-efficient units based on the indicator with limited resources
title_short Ranking CCR-efficient units based on the indicator with limited resources
title_full Ranking CCR-efficient units based on the indicator with limited resources
title_fullStr Ranking CCR-efficient units based on the indicator with limited resources
title_full_unstemmed Ranking CCR-efficient units based on the indicator with limited resources
title_sort ranking ccr-efficient units based on the indicator with limited resources
publisher Growing Science
series Decision Science Letters
issn 1929-5804
1929-5812
publishDate 2012-10-01
description Data Envelopment Analysis (DEA) is one of the most popular techniques for measuring the relative efficiencies of a set of decision making units (DMUs), which use different inputs producing various outputs. Ranking of efficient DMUs is one of the most interesting DEA perspectives. However, there are cases where we see some limitations on available resources and the proposed model of this paper is associated with Indicator with Limited Sources (ILS), which affects ranking methods. The ILS exists as fixed amount in a community and the DMUs can own it with their abilities. When a DMU loses the same amount of the indicator, the rest of the DMUs are able to own some without even changing their capacities of other indicators and or vice versa. If a DMU looks for more of the same amount of the indicator, the rest of the DMUs have to supply it without even changing their capacity of other indicators. This paper develops a ranking method based on the ILS for the efficient DMUs, when there is changes either in inputs/ outputs ILS. The implementation of the proposed model is applied for a case study of banking system.
topic Indicator with Limited Sources
Data Envelopment Analysis
Banking industry
url http://www.growingscience.com/dsl/Vol1/dsl_2012_10.pdf
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