Nonparametric frontier analysis with multiple constituencies

Journal of the Operational Research Society

Volumn 56, Issue 3, 2005, Pages 252-266

  Bougnol, M L ^a   Dula J H ^b   Retzlaff Roberts, D ^c   Womer, N K ^b  

^a WESTERN MICHIGAN UNIVERSITY   (United States)

^b UNIVERSITY OF MISSISSIPPI   (United States)

^c UNIVERSITY OF SOUTH ALABAMA   (United States)

Author keywords

Convex analysis; Data envelopment analysis (DEA); Linear programming; Nonparametric efficient frontiers

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; DECISION MAKING; LINEAR PROGRAMMING; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROJECT MANAGEMENT;

CONVEX ANALYSIS; DATA ENVELOPMENT ANALYSIS (DEA); DECISION MAKING UNITS (DMU); NONPARAMETRIC EFFICIENT FRONTIERS;

OPERATIONS RESEARCH;

EID: 14944387124     PISSN: 01605682     EISSN: None     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2601816     Document Type: Article

References (16)

1. Charnes A, Cooper WW and Rhodes E (1978). Measuring the efficiency of decision making units. Eur J Opl Res 2: 429-444.
2. Seiford L (1996). Data envelopment analysis: the evolution of the state of the art (1978-1995). J Prod Anal 7: 99-137.
3. Dyson RG, Allen R, Camanho AS, Podinovski VV, Sarrico CS and Shale EA (2001). Pitfalls and protocols in DEA. Eur J Opl Res 132: 245-259.
4. Charnes A, Cooper WW, Golany B, Seiford L and Stutz J (1985). Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. J Econ 30: 91-107.
5. Scheel H (2001). Undesirable outputs in efficiency valuations. Eur J Opl Res. 132: 400-410.
6. Sarrico CS, Hogan SM, Dyson RG and Athanassopoulos AD (1997). Data envelopment analysis and university selection. J Opl Res Soc 48: 1163-1177.
7. Banker RD, Charnes A and Cooper WW (1984). Some models for estimating technological and scale inefficiencies in data envelopment analysis. Mngt Sci 30: 1078-1092.
8. Seiford L and Thrall RM (1990). Recent developments in DEA: the mathematical programming approach to frontier analysis. J Econ 46(1-2): 7-38.
9. Thompson RG, Singleton Jr FD, Thrall RM and Smith BA (1986). Comparative site evaluation for locating a high-energy lab in Texas. Interfaces 16(6): 35-49.
10. Adolphson DL, Cornia GC and Walters LC (1991). A unified framework for classifying DEA models. In: Bradley HE (ed). Operational Research '90: Selected Papers from the 12th IFORS International Conference on Operational Research. Athens, Greece, 25 June 1990. Pergamon Press: Oxford pp 647-657.
11. Caporaletti LE, Dulá JH and Womer NK (1999). Performance evaluation based on multiple attributes with nonparametric frontiers. Omega 27: 637-645.
12. Tavares G and Antunes CH (2001). A Tchebycheff DEA Model. Working Paper. Rutgers University, Piscataway, NJ.
13. Ali AI and Seiford LW (1993). Computational accuracy and infinitesimals in data envelopment analysis. INFOR 31: 290-297.
14. Dulá JH and Hickman BL (1997). Effects of excluding the column being scored from the DEA envelopment LP technology matrix. J Opl Res Soc 48: 1001-1012.
15. Seiford L and Zhu J (1999). Infeasibility of super-efficiency data envelopment analysis models. INFOR 37: 174-187.
16. Bougnol M-L (2001). Nonparametric frontier analysis with multiple constituencies. PhD dissertation, The University of Mississippi, University, MS.