Using super-efficiency analysis for ranking technologies

WSEAS Transactions on Mathematics

Volumn 5, Issue 5, 2006, Pages 599-604

  Farzipoor Saen, Reza ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Data envelopment analysis; Super efficiency analysis; Technology ranking

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; EFFICIENCY; MATHEMATICAL MODELS; RANDOM PROCESSES;

DATA ENVELOPMENT ANALYSIS; SUPER-EFFICIENCY ANALYSIS;

NUMERICAL ANALYSIS;

EID: 33745599349     PISSN: 11092769     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (35)

1. N. Adler, L. Fridman, Z. Sinuany-Stern, Review of Ranking Methods in Data Envelopment Analysis Context, European Journal of Operational Research, Vol. 140, No. 2, 2002, pp. 249-265.
2. A. Amirteimoori, G. R. Jahanshahloo, S. Kordrostami, Ranking of Decision Making Units in Data Envelopment Analysis: A Distance-Based approach, Applied Mathematics and Computation, Vol. 171, No. 1, 2005, pp. 122-135.
3. P. Andersen, N. C. Petersen, A Procedure for Ranking Efficient Units in Data Envelopment Analysis, Management Science, Vol. 39, No. 10, 1993, pp. 1261-1264.
4. N.P. Archer, F. Ghasemzadeh, An integrated framework for project portfolio selection, International journal of Project Management, Vol. 17, No. 4, 1999, pp. 207-216.
5. M.A. Badri, D. Davis, D. Davis, A Comprehensive 0-1 Goal Programming Model for Project Selection, International journal of Project Management, Vol. 19, No. 4, 2001, pp. 243-252.
6. R. C. Baker, S. Talluri, A Closer Look at the Use of Data Envelopment Analysis for Technology Selection, Computers & Industrial Engineering, Vol. 32, No. 1, 1997, pp. 101-108.
7. R. D. Banker, A. Charnes, W. W. Cooper, Some Methods for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, Vol. 30, No. 9, 1984, pp. 1078-1092.
8. A. Charnes, W. W. Cooper, E. Rhodes, Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, Vol. 2, No. 6, 1978, pp. 429-444.
9. R. Farzipoor Saen, A. Memariani, F. Hosseinzadeh Lotfi, The effect of correlation coefficient among multiple input vectors on the efficiency mean in data envelopment analysis, Applied Mathematics and Computation, Vol.162, No.2, 2005, pp.503-521.
10. L. Fridman, Z. Sinuany-Stern, Scaling Units via the Canonical Correlation Analysis and the Data Envelopment Analysis, European Journal of Operational Research, Vol. 100, No. 3, 1997, pp. 629-637.
11. F. Ghasemzadeh, N.P. Archer, Project portfolio selection through decision support, Decision Support Systems, Vol. 29, No. 1, 2000, pp. 73-88.
12. M. Hajeeh, A. Al-Othman, Application of the analytical hierarchy process in the selection of desalination plants, Desalination, Vol. 174, No. 1, 2005, pp. 97-108.
13. G. R. Jahanshahloo, M. Afzalinejad, A Ranking Method Based On a Full-Inefficient Frontier, Applied Mathematical Modelling, Vol. 30, No. 3, 2006, pp. 248-260.
14. 1-norm in Data Envelopment Analysis, Applied Mathematics and Computation, Vol. 153, No. 1, 2004, pp. 215-224.
15. G. R. Jahanshahloo, F. Hosseinzadeh Lotfi, H. Zhiani Rezai, F. Rezai Balf, Using Monte Carlo Method for Ranking Efficient DMUs, Applied Mathematics and Computation, Vol. 162, No. 1, 2005, pp. 371-379.
16. G. R. Jahanshahloo, A. Memariani, F. Hosseinzadeh Lotfi, H. Z. Rezai, A Note on Some of DEA Models and Finding Efficiency and Complete Ranking Using Common Set of Weights, Applied Mathematics and Computation, Vol. 166, No. 2, 2005, pp. 265-281.
17. G. R. Jahanshahloo, L. Pourkarimi, M. Zarepisheh, Modified MAJ Model for Ranking Decision Making Units in Data Envelopment Analysis, Applied Mathematics and Computation, Vol. 174, No. 2, 2006, pp. 1054-1059.
18. M. Khouja, The Use of Data Envelopment Analysis for Technology Selection, Computers & Industrial Engineering, Vol. 28, No. 1, 1995, pp. 123-132.
19. G.C. Kim, J. Emery, An application of Zero-One Goal Programming in Project Selection and Resource Planning - A Case Study from the Woodward Governor Company, Computers & Operations Research, Vol. 27, No. 14, 2000, pp. 1389-1408.
20. J.W. Lee, S.H. Kim, Using analytic network process and Goal Programming for Interdependent Information System Project Selection, Computers & Operations Research, Vol. 27, No. 4, 2000, pp. 367-382.
21. J.W. Lee, S.H. Kim, An integrated approach for interdependent information system project selection, International journal of Project Management, Vol. 19, No. 2, 2001, pp. 111-118.
22. F. F. Liu, H. L. Hai, The Voting Analytic Hierarchy Process Method for Selecting Supplier, International Journal of Production Economics, Vol. 97, No. 3, 2005, pp. 308-317.
23. S. Malladi, K.J. Min, Decision support models for the selection of Internet Access Technologies in Rural Communities, Telematics and Informatics, Vol. 22, No. 3, 2005, pp. 201-219.
24. S. Mehrabian, M. R. Alirezaee, G. R. Jahanshahloo, A Complete Efficiency Ranking of Decision Making Units in DEA, Computational Optimization and Applications (COAP), Vol. 14, No. 2, 1999, pp. 261-266.
25. S. Mohamed, A.K. McCowan, Modelling project investment decisions under uncertainty using possibility theory, International journal of Project Management, Vol. 19, No. 4, 2001, pp. 231-241.
26. C. Parkan, M. Wu, Decision-Making and Performance Measurement Models with Applications to Robot Selection, Computers & Industrial Engineering, Vol. 36, No. 3, 1999, pp. 503-523.
27. S. Saati, M. Zarafat Angiz, A. Memariani, G. R. Jahanshahloo, A Model for Ranking Decision Making Units in Data Envelopment Analysis, Ricerca Operativ, Vol. 31, No. 97, 2001, pp. 47-59.
28. T. R. Sexton, R. H. Silkman, A. J. Hogan, Data Envelopment Analysis: Critique and Extensions, in RH Silkman (Ed) Measuring Efficiency: An Assessment of Data Envelopment Analysis, Jossey-Bass, 1986.
29. N. Shehabuddeen, D. Probert, R. Phaal, From theory to practice: challenges in operationalising a technology selection framework, Technovation, Vol. 26, No. 3, 2006, pp. 324-335.
30. S. Talluri, M. M. Whiteside, S. J. Seipel, A Nonparametric Stochastic Procedure for FMS Evaluation, European Journal of Operational Research, Vol. 124, No. 3, 2000, pp. 529-538.
31. R. M. Thrall, Duality Classification and Slacks in Data Envelopment Analysis, Annals of Operations Research, Vol. 66, 1996, pp. 109-138.
32. K. Tone, A Slack-Based Measure of Super-Efficiency in Data Envelopment Analysis, European Journal of Operational Research, Vol. 143, No. 1, 2002, pp. 32-41.
33. A. M. Torgersen, F. R. Forsund, S. A. C. Kittelsen, Slack-Adjusted Efficiency Measures and Ranking of Efficient Unit, Journal of Productivity Analysis, Vol. 7, No. 4, 1996, pp. 379-398.
34. S. Wang, Comments on Operational Competitiveness Rating Analysis (OCRA), European Journal of Operational Research Vol. 169, No. 1, 2006, pp. 329-331.
35. M. Yurdakul, Selection of Computer-Integrated Manufacturing Technologies Using a Combined Analytic Hierarchy Process and Goal Programming Model, Robotics and Computer-Integrated Manufacturing, Vol. 20, No. 4, 2004, pp. 329-340.