Advances in data envelopment analysis

Research output: Contribution to journalArticle

Abstract

Since its introduction in 1978, data envelopment analysis (DEA) has become one of the preeminent nonparametric methods for measuring efficiency and productivity of decision making units (DMUs). Charnes et al. (1978) provided the original DEA constant returns to scale (CRS) model, later extended to variable returns to scale (VRS) by Banker et al. (1984). These ‘standard’ models are known by the acronyms CCR and BCC, respectively, and are now employed routinely in areas that range from assessment of public sectors, such as hospitals and health care systems, schools, and universities, to private sectors, such as banks and financial institutions (Emrouznejad et al. 2008; Emrouznejad and De Witte 2010). The main objective of this volume is to publish original studies that are beyond the two standard CCR and BCC models with both theoretical and practical applications using advanced models in DEA.
Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalAnnals of Operations Research
Volume214
Issue number1
DOIs
Publication statusPublished - 1 Mar 2014

Fingerprint

Data envelopment analysis
Decision making units
Returns to scale
Nonparametric methods
Private sector
Hospital care
Financial institutions
Public sector
Health care system
Variable returns to scale
Productivity

Bibliographical note

The final publication is available at Springer via http://dx.doi.org/10.1007/s10479-014-1535-4

Cite this

@article{9a702f55d2574bd7ade63e9a1d84f951,
title = "Advances in data envelopment analysis",
abstract = "Since its introduction in 1978, data envelopment analysis (DEA) has become one of the preeminent nonparametric methods for measuring efficiency and productivity of decision making units (DMUs). Charnes et al. (1978) provided the original DEA constant returns to scale (CRS) model, later extended to variable returns to scale (VRS) by Banker et al. (1984). These ‘standard’ models are known by the acronyms CCR and BCC, respectively, and are now employed routinely in areas that range from assessment of public sectors, such as hospitals and health care systems, schools, and universities, to private sectors, such as banks and financial institutions (Emrouznejad et al. 2008; Emrouznejad and De Witte 2010). The main objective of this volume is to publish original studies that are beyond the two standard CCR and BCC models with both theoretical and practical applications using advanced models in DEA.",
author = "Ali Emrouznejad",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/s10479-014-1535-4",
year = "2014",
month = "3",
day = "1",
doi = "10.1007/s10479-014-1535-4",
language = "English",
volume = "214",
pages = "1--4",
journal = "Annals of Operations Research",
issn = "0254-5330",
publisher = "Springer",
number = "1",

}

Advances in data envelopment analysis. / Emrouznejad, Ali.

In: Annals of Operations Research, Vol. 214, No. 1, 01.03.2014, p. 1-4.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Advances in data envelopment analysis

AU - Emrouznejad, Ali

N1 - The final publication is available at Springer via http://dx.doi.org/10.1007/s10479-014-1535-4

PY - 2014/3/1

Y1 - 2014/3/1

N2 - Since its introduction in 1978, data envelopment analysis (DEA) has become one of the preeminent nonparametric methods for measuring efficiency and productivity of decision making units (DMUs). Charnes et al. (1978) provided the original DEA constant returns to scale (CRS) model, later extended to variable returns to scale (VRS) by Banker et al. (1984). These ‘standard’ models are known by the acronyms CCR and BCC, respectively, and are now employed routinely in areas that range from assessment of public sectors, such as hospitals and health care systems, schools, and universities, to private sectors, such as banks and financial institutions (Emrouznejad et al. 2008; Emrouznejad and De Witte 2010). The main objective of this volume is to publish original studies that are beyond the two standard CCR and BCC models with both theoretical and practical applications using advanced models in DEA.

AB - Since its introduction in 1978, data envelopment analysis (DEA) has become one of the preeminent nonparametric methods for measuring efficiency and productivity of decision making units (DMUs). Charnes et al. (1978) provided the original DEA constant returns to scale (CRS) model, later extended to variable returns to scale (VRS) by Banker et al. (1984). These ‘standard’ models are known by the acronyms CCR and BCC, respectively, and are now employed routinely in areas that range from assessment of public sectors, such as hospitals and health care systems, schools, and universities, to private sectors, such as banks and financial institutions (Emrouznejad et al. 2008; Emrouznejad and De Witte 2010). The main objective of this volume is to publish original studies that are beyond the two standard CCR and BCC models with both theoretical and practical applications using advanced models in DEA.

UR - http://www.scopus.com/inward/record.url?scp=84894352066&partnerID=8YFLogxK

UR - http://link.springer.com/article/10.1007/s10479-014-1535-4

U2 - 10.1007/s10479-014-1535-4

DO - 10.1007/s10479-014-1535-4

M3 - Article

AN - SCOPUS:84894352066

VL - 214

SP - 1

EP - 4

JO - Annals of Operations Research

JF - Annals of Operations Research

SN - 0254-5330

IS - 1

ER -