Skip to main content

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 51))

  • 368 Accesses

Abstract

When a DMU under evaluation is not included in the reference set of the envelopment models, the resulting DEA models are called super-efficiency DEA models. Churns, Haag, Jaska and Semple (1992) use a super-efficiency model to study the sensitivity of the efficiency classifications. Zhu (1996b) and Seiford and Zhu (1998d) develop a number of new super-efficiency models to determine the efficiency stability regions (see Chapter 11). Andersen and Petersen (1993) propose using the CRS super-efficiency model in ranking the efficient DMUs. Also, the super-efficiency DEA models can be used in detecting influential observations (Wilson, 1995) and in identifying the extreme efficient DMUs (Thrall, 1996). Seiford and Zhu (1999c) study the infeasibility of various super-efficiency models developed from the envelopment models in Table 1.2. Chapter 11 presents other super-efficiency models that are used in sensitivity analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media New York

About this chapter

Cite this chapter

Zhu, J. (2003). Super Efficiency. In: Quantitative Models for Performance Evaluation and Benchmarking. International Series in Operations Research & Management Science, vol 51. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4246-6_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-4246-6_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-4248-0

  • Online ISBN: 978-1-4757-4246-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics