EconPapers    
Economics at your fingertips  
 

Congestion: Its Identification and Management with DEA

William W. Cooper (), Honghui Deng (), Lawrence Seiford and Joe Zhu ()
Additional contact information
William W. Cooper: University of Texas at Austin
Honghui Deng: University of Nevada
Joe Zhu: Worcester Polytechnic Institute

Chapter Chapter 7 in Handbook on Data Envelopment Analysis, 2011, pp 173-193 from Springer

Abstract: Abstract Congestion is a term that is applicable in a variety of disciplines which range from medical science to traffic engineering. It has also many uses in practical everyday life. This brings with it a certain looseness in usage. We therefore expand (and refine) our discussion of congestion with reference to its use in economics where we have access to a precise meaning which we can develop in this chapter. This chapter covers the standard approaches used for treating congestion in data envelopment analysis.

Keywords: Data envelopment analysis; Efficiency; Performance; Congestion (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-6151-8_7

Ordering information: This item can be ordered from
http://www.springer.com/9781441961518

DOI: 10.1007/978-1-4419-6151-8_7

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-1-4419-6151-8_7