Enhanced methods for benchmarking and ranking in data envelopment analysis

Data Envelopment Analysis (DEA) is a non-parametric method in operations research for estimating production frontier, and benchmarking and ranking Decision Making Units (DMUs). The current DEA techniques are not suitable for these assessments, thus, this study proposes novel robust methods to improv...

Full description

Saved in:

Bibliographic Details
Main Author:	Khezrimotlagh, Dariush
Format:	Thesis
Language:	English
Published:	2013
Subjects:	HA Statistics
Online Access:	http://eprints.utm.my/id/eprint/33782/5/DariushKherzrimotlaghPFS2013.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.33782
record_format	uketd_dc
spelling	my-utm-ep.337822017-07-19T06:41:14Z Enhanced methods for benchmarking and ranking in data envelopment analysis 2013-05 Khezrimotlagh, Dariush HA Statistics Data Envelopment Analysis (DEA) is a non-parametric method in operations research for estimating production frontier, and benchmarking and ranking Decision Making Units (DMUs). The current DEA techniques are not suitable for these assessments, thus, this study proposes novel robust methods to improve the capabilities of DEA for approximating the production frontier while simultaneously benchmarking and ranking DMUs. Firstly, the shortcomings in the DEA techniques are illustrated with several counter examples followed by new proposed methods to remove the shortcomings. Then, the techniques are combined and used in a linear programming model called Kourosh and Arash Model (KAM). KAM estimates the production frontier and allows decisions within the target regions instead of points in the benchmark of DMUs. In this study, KAM produces three efficiency indexes, namely: the lowest, technical and highest efficiency scores for each DMU. These efficiency indexes provide a sensitivity index for each DMU and rank DMUs completely. KAM is also able to measure the efficiency scores of DMUs inclusive of integer and real data. To sum up, the proposed techniques in this study have improved the capabilities of DEA to assess the production frontier, as well as benchmark and rank DMUs. 2013-05 Thesis http://eprints.utm.my/id/eprint/33782/ http://eprints.utm.my/id/eprint/33782/5/DariushKherzrimotlaghPFS2013.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69905?site_name=Restricted Repository phd doctoral Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HA Statistics
spellingShingle	HA Statistics Khezrimotlagh, Dariush Enhanced methods for benchmarking and ranking in data envelopment analysis
description	Data Envelopment Analysis (DEA) is a non-parametric method in operations research for estimating production frontier, and benchmarking and ranking Decision Making Units (DMUs). The current DEA techniques are not suitable for these assessments, thus, this study proposes novel robust methods to improve the capabilities of DEA for approximating the production frontier while simultaneously benchmarking and ranking DMUs. Firstly, the shortcomings in the DEA techniques are illustrated with several counter examples followed by new proposed methods to remove the shortcomings. Then, the techniques are combined and used in a linear programming model called Kourosh and Arash Model (KAM). KAM estimates the production frontier and allows decisions within the target regions instead of points in the benchmark of DMUs. In this study, KAM produces three efficiency indexes, namely: the lowest, technical and highest efficiency scores for each DMU. These efficiency indexes provide a sensitivity index for each DMU and rank DMUs completely. KAM is also able to measure the efficiency scores of DMUs inclusive of integer and real data. To sum up, the proposed techniques in this study have improved the capabilities of DEA to assess the production frontier, as well as benchmark and rank DMUs.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Khezrimotlagh, Dariush
author_facet	Khezrimotlagh, Dariush
author_sort	Khezrimotlagh, Dariush
title	Enhanced methods for benchmarking and ranking in data envelopment analysis
title_short	Enhanced methods for benchmarking and ranking in data envelopment analysis
title_full	Enhanced methods for benchmarking and ranking in data envelopment analysis
title_fullStr	Enhanced methods for benchmarking and ranking in data envelopment analysis
title_full_unstemmed	Enhanced methods for benchmarking and ranking in data envelopment analysis
title_sort	enhanced methods for benchmarking and ranking in data envelopment analysis
granting_institution	Universiti Teknologi Malaysia, Faculty of Science
granting_department	Faculty of Science
publishDate	2013
url	http://eprints.utm.my/id/eprint/33782/5/DariushKherzrimotlaghPFS2013.pdf
_version_	1747816183814422528

Enhanced methods for benchmarking and ranking in data envelopment analysis

Similar Items