Advances in data envelopment analysis


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.

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Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: The final publication is available at Springer via
Publication ISSN: 1572-9338
Last Modified: 17 May 2024 07:10
Date Deposited: 27 Jun 2018 13:55
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://link.spr ... 0479-014-1535-4 (Publisher URL)
PURE Output Type: Article
Published Date: 2014-03-01
Authors: Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)



Version: Accepted Version

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