Paper Info
Title
A distance-based measure of super efficiency in data envelopment analysis: an application to gas companies
Abstract
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. Standard DEA models can not provide more information about efficient units. Super-efficiency DEA models can be used in ranking the performance of efficient DMUs and overcome this obstacle. Because of the possible infeasibility, the use of super efficiency models has been restricted. This research proposes a methodology to determine a distance-based measure of super-efficiency. The proposed methodology overcomes the infeasibility problem of the existing ranking methodologies. The applicability of the proposed model is illustrated in the context of the analysis of gas companies' performance.
Year
DOI
Venue
2012
10.1007/s10898-011-9745-7
J. Global Optimization
Keywords
Field
DocType
Data envelopment analysis,Performance evaluation,Ranking,Super efficiency,Input/output
Obstacle,Mathematical optimization,Ranking,Homogeneous,Input/output,Data envelopment analysis,Super efficiency,Mathematics
Journal
Volume
Issue
ISSN
54
1
0925-5001
Citations 
PageRank 
References 
0
0.34
17
Authors
2
Name
Order
Citations
PageRank
Alireza Amirteimoori118223.77
Sohrab Kordrostami27613.38