NDLI: Relationship between DEA models without explicit inputs and DEA-R models

Content Provider	Springer Nature Link
Author	Mozaffari, M. R. Jablonsky, J. Gerami, J.
Copyright Year	2012
Abstract	Data envelopment analysis (DEA) is one of often used modeling tools for efficiency and performance evaluation of decision making units. Ratio DEA (DEA-R) is a group of novel mathematical models that combines standard DEA methodology and ratio analysis. The efficiency score given by standard DEA CCR model is less than or equal to that given by DEA-R model. In case of single input or single output the efficiency scores in CCR and DEA-R models are identical. The paper deals with DEA-R models without explicit inputs, i.e. models where only pure outputs or index data are taken into account. A basic DEA-R model without explicit inputs is formulated and a relation between output-oriented DEA models without explicit inputs and output-oriented DEA-R models is analyzed. Central resource allocation and slack-based measure models within DEA-R framework are examined. Finally they are used for projections of decision making units on the efficient frontier. The results of the proposed models are applied for efficiency evaluation of 15 units (Chinese research institutes) and they are discussed.
Ending Page	12
Page Count	12
Starting Page	1
File Format	PDF
ISSN	1435246X
e-ISSN	16139178
Journal	Central European Journal of Operations Research
Issue Number	1
Volume Number	22
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2012-10-30
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	DEA-R model Applications of mathematical programming Efficiency Operations Research/Decision Theory Central resource allocation Linear programming Data envelopment analysis
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research

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