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Ali Emrouznejad's Data Envelopment Analysis
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General introduction to DEA
History of DEA from its developer William W Cooper
William W CooperTributes by Ali Emrouznejad and Rajiv Banker
About DEAzone
Dedicated to
Acknowledgments
A request
COURSE
DEA – Short courses
MSc & PhD in DEA, Business Analytics or related subjects
SOFTWARE
FAQ
DOWNLOAD
Call for papers/conferences
Tributes William W Cooper
Bibliography
Books
Fuzzy DEA
Fuzzy DEA Bibliography
Fuzzy DEA review/taxonomy paper
Tutorial
1 – Abstract
2 – Introduction
3 – Relative efficiency measurement
4 – Weights to determine relative efficiency
5 – Solutions to the DEA model
6 – Graphical representation
7 – The dual DEA model
8 – Issues in DEA
9 – Conclusions
References
COOPER Framework
A Unified Process for Non-parametric Projects
Introduction
What is COOPER-framework?
Systematic presentation of the COOPER-framework
Concepts and objectives phase
On structuring data
Operational models
Performance comparison
Evaluation
Result and deployment
Conclusion
Download
DEA Survey paper
-Abstract
1 – Introduction
2- DEA bibliography
3 – DEA publication statistics
3.1. Statistics based on different years
3.2. Statistics based on different journals
3.3. Statistics based on different authors
3.4. Statistics based on keywords used
3.5. Statistics based on page numbers (size)
4 – Current studies and future trends
5 – Conclusions and discussions
Full paper – Download
Conferences
FUTURE events / Conferences / Call for Papers
0
PAST events / Conferences / Call for Papers
7th North American Productivity Workshop, June 6-9 – 2012, Houston, Texas
The 8th Asia-Pacific Productivity Conference, July 25-27, 2012, KMITL, Bangkok, Thailand
DEA Symposium, February 20-21, Japan
DEA2011,Thessaloniki, Greece, August 2011
DEA2010,Beirut, Lebanon, June 2010
DEA2009, Philadelphia, USA, July 2009
DEA2007, Hyderabad, India, January 2007
DEA2004, Birmingham, UK, September 2004
DEA2002, Moscow, Russia, July 2002
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DEA & SFA Courses Two days training, Aston University. The next course will be annonce soon.
See details
HERE
W W Cooper (Tributes)
by Ali Emrouznejad & Rajiv Banker
DEA & SFA Courses
Two days training at Aston University
See details
HERE
History of DEA from its developer
William W Cooper
Emrouznejad, A.(2016)
Big Data Optimization: Recent Developments and Challenges,
Springer
Download
PIM-DEA SOFTWARE
Performance Improvement Management Software – PIM-DEA software
Emrouznejad A. & E. Cabanda (2014)
Managing Service Productivity : Uses of Frontier Efficiency Methodologies and MCDM for Improving Service Performance
,
Springer
Order at Amazon
Emrouznejad, A. & W. Ho(2017)
Fuzzy Analytic Hierarchy Process
. CRC Press Publisher: Taylor & Francis.
Download
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Emrouznejad, A. & V. Charles (2018).
Big Data for Greater Good,
Springer
Download
Emrouznejad, A. & M. Tavana (2014)
Performance Measurement with
Fuzzy DEA
, Springer
Order at Amazon
Emrouznejad A. & W. Ho (2012)
Applied Operational Research with SAS
, including SAS DEA software,
Taylor & Francis.
Order at Amazon
Osman, I. H., A. L. Anouze & A. Emrouznejad (2014)
Strategic Performance Management &
Measurement Using
DEA
. IGI Global, USA.
Order at Amazon
FAQ
What is Data Envelopment Analysis?
BCC
Categorical variable
CCR (ratio) mode
Composite unit
Constant returns to scale
Convex cone - Conical hull
Convex hull
Convexity constraint
Cross efficiency matrix
DEA algorithm
DEA results are biased
Decreasing returns to scale
Discretionary factor
Discriminatory power
DMU (Decision making unit)
Dual Model
Dual weights - dual multipliers
Efficiency score
Efficiency/Productive efficiency
Envelopment form
Environmental factor
Epsilon
Exogeneously fixed factor
Facet
Homogeneity
Increasing returns to scale
Input
Input-oriented
Input/output mix
Isotonicity
Most productive scale size (MPSS)
Multiplier form
Non-naturally enveloped unit
Nondiscretionary factor
Ordinal variable
Outlier
Output
Output-oriented
Overall efficiency
Pareto-efficiency/Pareto-Koopmans efficiency:
Peer group
Piecewise linearity
Primal (CCR) model
Production function
Productivity
Projected point
Radial measure
Ratio models
Reference set
Reference unit
Scale efficiency
Scale of operations
Slacks
Targets
Technical efficiency
Technology/Production technology
Unit
Unit isoquant/Isoquant
Units invariance
Variable
Variable returns to scale
Virtual input(output)
Virtual multipliers
Visualisation
Weight Flexibility
Weights
Well-rounded performance
Window analysis
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