Data envelopment analysis

Dariush Khezrimotlagh; Yao Chen

doi:10.1007/978-3-319-76345-3_7

Data envelopment analysis

Dariush Khezrimotlagh, Yao Chen

School of Science, Engineering & Technology (Harrisburg)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

6 Scopus citations

Abstract

The outcomes from the previous chapters provide useful information from the literature of operations research and economics on measuring the performance of a set of homogenous firms with multiple input factors and multiple output factors as well as ranking and benchmarking firms. If firms are not homogenous, the situation is the same as when each factor has a different unit of measurement from one firm to another, and therefore, no meaningful discrimination can be expressed, unless the simple conditions of discrimination, which are represented in Sect. 2.3, are satisfied. In this chapter, the concepts introduced in the previous chapters are adapted with the literature and the philosophical background is discussed.

Original language	English (US)
Title of host publication	International Series in Operations Research and Management Science
Publisher	Springer New York LLC
Pages	217-234
Number of pages	18
DOIs	https://doi.org/10.1007/978-3-319-76345-3_7
State	Published - 2018

Publication series

Name	International Series in Operations Research and Management Science
Volume	269
ISSN (Print)	0884-8289

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications
Strategy and Management
Management Science and Operations Research
Applied Mathematics

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10.1007/978-3-319-76345-3_7

Cite this

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Data envelopment analysis

Abstract

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