Weight-restricted DBA in action: From expert opinions to mathematical models

Journal of the Operational Research Society

Volumn 55, Issue 8, 2004, Pages 814-821

  Joro, T ^a   Viitala, E J ^b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Assurance regions; Data envelopment analysis; Economic efficiency; Forestry; Public organizations; Weight restrictions

Indexed keywords

DECISION MAKING; ECONOMICS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PERSONNEL; SOCIETIES AND INSTITUTIONS; WAGES;

DATA ENVELOPMENT ANALYSIS (DEA); ECONOMIC EFFICIENCY; PUBLIC ORGANIZATIONS; WEIGHT RESTRICTIONS;

DATA REDUCTION;

EID: 3242769058     PISSN: 01605682     EISSN: None     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2601752     Document Type: Article

References (25)

1. Charnes A, Cooper WW and Rhodes E (1978). Measuring efficiency of decision making units. Eur J Opl Res 2: 429-444.
2. Allen R, Athanassopoulos A, Dyson RG and Thanassoulis E (1997). Weights restrictions and value judgements in data envelopment analysis: evolution, development and future directions. Ann Opn Res 73: 13-34.
3. Pedraja-Chaparro F, Salinas-Jimenez J and Smith P (1997). On the role of weight restrictions in Data Envelopment Analysis. J Prod Anal 8: 215-230.
4. Roll Y and Golany B (1993). Alternate methods of treating factor weights in DEA. Omega 21: 99-109.
5. Seiford LM (1996). Data envelopment analysis: the evolution of the state of the art (1978-1995). J Prod Anal 7: 99-137.
6. Kao C and Yang YC (1991). Measuring the efficiency of forest management. For Sci 37: 1239-1252.
7. Kao C and Yang YC (1992). Reorganization of forest districts via efficiency measurement. Eur J Opl Res 58: 356-362.
8. Kao C (1998). Measuring the efficiency of forest districts with multiple working circles. J Opl Res Soc 49: 583-590.
9. Kao C (2000). Measuring the performance improvement of Taiwan forests after reorganization. For Sci 46: 577-584.
10. Kao C, Chang P and Hwang SN (1993). Data envelopment analysis in measuring the efficiency of forest management. J Environ Mngt 38: 73-83.
11. Viitala EJ and Hänninen H (1998). Measuring the efficiency of public forestry organizations. For Sci 44: 298-307.
12. Bogetoft P, Thorsen BJ and Strange N (2003). Efficiency and merger gains in the Danish forestry extension service. For Sci 49: 585-595.
13. Dyson RG and Thanassoulis E (1988). Reducing weight flexibility in data envelopment analysis. J Opl Res Soc 39: 563-576.
14. Roll Y, Cook WD and Golany B (1991). Controlling factor weights in data envelopment analysis. IIE Trans 23: 2-9.
15. Golany B (1988). A note on including ordinal relations among multipliers in data envelopment analysis. Mngt Sci 34:1029-1033.
16. Ali AI, Cook WD and Seiford LM (1991). Strict vs. weak ordinal relations for multipliers in data envelopment analysis. Mngt Sci 37: 733-738.
17. Thompson RG, Singleton Jr. FR, Thrall RM and Smith BA (1986). Comparative site evaluation for locating a high-energy physics lab in Texas. Interfaces 16(6): 35-49.
18. Thompson RG, Langemeier LM, Lee CT, Lee E and Thrall RM (1990). The role of multiplier bounds in efficiency analysis with application to Kansas farming. J Econom 46: 93-108.
19. Halme M and Korhonen P (2000). Restricting weights in value efficiency analysis. Eur J Opl Res 126: 175-188.
20. Banker RD, Charnes A and Cooper WW (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Mngt Sci 30: 1078-1092.
21. Wong YHB and Beasley JE (1990). Restricting weight flexibility in data envelopment analysis. J Opl Res Soc 41: 829-835.
22. Charnes A, Cooper WW, Huang ZM and Sun DB (1990). Polyhedral cone-ratio DBA models with an illustrative application to large commercial banks. J Econom 46: 73-91.
23. Halme M, Joro T, Korhonen P, Salo S and Wallenius J (1999). A value efficiency approach to incorporating preference information in data envelopment analysis. Mngt Sci 45: 103-115.
24. Golany B and Roll YA (1994). Incorporating standards via DEA. In: Charnes A, Cooper WW, Lewin AY and Seiford LM (eds). Data Envelopment Analysis: Theory, Methodology and Applications. Kluwer Academic Publishers, Boston, pp 313-328.
25. Allen R and Thanassoulis E (2004). Increasing envelopment in data envelopment analysis. Eur J Opl Res 154: 363-379.