scholarly journals The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs

2010 ◽  
Vol 203 (3) ◽  
pp. 761-770 ◽  
Author(s):  
M. Khalili ◽  
A.S. Camanho ◽  
M.C.A.S. Portela ◽  
M.R. Alirezaee
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
Assurance Regions ◽  
Using Data ◽  
Inputs And Outputs

Relative Efficiency of Universities Using Data Envelopment Analysis

2020 ◽  
pp. 78-100
Author(s):  
Tarig Hassan Al-Amin ◽  
Maged Mohamed Gazar
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Community Service ◽  
Relative Efficiency ◽  
Arab Countries ◽  
Data Envelopment ◽  
Hypothetical Data ◽  
Teaching Research ◽  
Using Data ◽  
Efficiency Indicators

The purpose of this chapter is to evaluate the relative efficiency of universities using data envelopment analysis (DEA). The authors developed a map of efficiency indicators of universities depending on the three main functions of any university; i.e., teaching, research, and community service. Using hypothetical data of 27 universities in a given country, the authors developed the inputs and outputs for each of the three main functions of the universities. The DEA revealed some interesting results concerning the efficient and inefficient universities, and how to improve the inefficient ones. Moreover, the DEA was better than the traditional accounting method for performance evaluation. The authors concluded with some recommendations to improve efficiency of universities through the teaching, research, and community service activities. Finally, some implications for the Arab countries were discussed.

scholarly journals Construction prequalification using data envelopment analysis

2005 ◽  
Vol 32 (1) ◽  
pp. 183-193 ◽  
Author(s):  
Brenda McCabe ◽  
Viet Tran ◽  
Joseph Ramani
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Construction Projects ◽  
Performance Standard ◽  
Data Envelopment ◽  
Construction Engineering ◽  
Engineering Data ◽  
Regional Performance ◽  
Using Data

Contractor prequalification is essential in most construction projects, and the process has been performed by many different methods in practice. Data envelopment analysis (DEA) had been recognized as a useful technique to prequalify contractors by assigning relative efficiency scores. Data envelopment analysis, however, usually requires a large amount of data and has not been fully developed to achieve reliable results. An enhanced contractor prequalification model using DEA was developed together with a methodology for determining a "practical frontier" of best contractors. The established practical frontier can be used as a regional performance standard for the owner in prequalification and as improvement guidelines for contractors.Key words: contractor prequalification, construction engineering, data envelopment analysis, practical frontier.

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