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Performance benchmarking using interactive data envelopment analysis. (English) Zbl 0947.91051
Summary: This paper presents a procedure for performance benchmarking, that extends the performance measurement technique Data Envelopment Analysis (DEA), to incorporate the interactive decision procedure Interactive Multiple Goal Programming (IMGP). The resulting procedure is called Interactive Data Envelopment Analysis (IDEA). It is a decision support tool that helps decision makers to select performance benchmarks that are both feasible and desirable, and to identify benchmark partners that may be helpful in uncovering ways for achieving the selected performance standards. The IDEA concepts and characteristics are illustrated by means of an example IDEA assessment, using previously reported operating performance data of UK university departments.

MSC:
91B38Production theory, theory of the firm (economics)
90C29Multi-objective programming; goal programming
Software:
DEA
WorldCat.org
Full Text: DOI
References:
[1] Banker, R.D., 1993. Maximum likelihood, consistency and data envelopment analysis: a statistical foundation. Management Sci. October, 1265--1273 · Zbl 0798.90009
[2] Banker, R. D.; Maindiratta, A.: Nonparametric analysis of technical and allocative efficiencies in production. Econometrica 56, No. 6, 1315-1332 (1988) · Zbl 0657.90008
[3] Banker, R. D.; Morey, R. C.: The use of categorical variables in data envelopment analysis. Management sci. 32, No. 12, 1613-1627 (1986)
[4] Banker, R. D.; Charnes, A.; Cooper, W. W.: Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management sci. 30, No. 9, 1078-1092 (1984) · Zbl 0552.90055
[5] Bauer, P. W.: Recent developments in the econometric estimation of frontiers. J. econometrics 46, 39-56 (1990)
[6] Beasley, J.E., 1990. Comparing university departments. Omega, 171--183
[7] Belton, V., 1990. An integrating data envelopment analysis with multiple criteria decision analysis. In: Multiple Criteria Decision Making, Proceedings of the Ninth International Conference: Theory and Applications in Business, Industry, and Government, pp. 71--79
[8] Belton, V., Vickers, S.P., 1992. VIDEA: integrated data envelopment analysis and multiple criteria decision analysis: a visual interactive approach. In: Proceedings of the Tenth International Conference on Multiple Criteria Decision Making, vol. II, pp. 419--429
[9] Belton, V.; Vickers, S. P.: Demystifying DEA: a visual interactive approach based on multi criteria analysis. J. oper. Res. soc. 44, 883-896 (1993) · Zbl 0800.90012
[10] Charnes, A.; Cooper, W. W.; Rhodes, E.: Measuring the efficiency of decision making units. European J. Oper. res. 2, No. 6, 429-444 (1978) · Zbl 0416.90080
[11] Charnes, A.; Cooper, W. W.; Huang, Z. M.; Sun, D. B.: Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks. J. econometrics 46, 73-91 (1990) · Zbl 0712.90015
[12] Charnes A., Cooper, W.W., Lewin, A.Y., Seiford, L.M., 1994. Data Envelopment Analysis: Theory, Methodology and Applications. Kluwer Academic Publishers, Dordrecht, pp. 313--328 · Zbl 0858.00049
[13] Cook, W. D.; Kress, M.; Seiford, L. M.: Data envelopment analysis in the presence of both quantitative and qualitative factors. J. oper. Res. soc. 47, 945-953 (1996) · Zbl 0863.90002
[14] Deprins, D., Simar, L., Tulkens, H., 1984. Measuring labour efficiency in post offices. In: Marchand, M., Pestieu, P., Tulkens, H. (Eds.), The Performance of Public Enterprises. North-Holland, Amsterdam, pp. 243--267
[15] Dyson, R. G.; Thanassoulis, E.: Reducing weight flexibility in data envelopment analysis. J. oper. Res. soc. 39, No. 6, 563-576 (1988)
[16] Epstein, M. K.; Henderson, J. C.: Data envelopment analysis for managerial control and diagnosis. Decision sci. 20, 90-119 (1989)
[17] Golany, B.: An interactive MOLP procedure for the extension of DEA to effectiveness analysis. J. oper. Res. soc. 39, No. 8, 725-734 (1988) · Zbl 0655.90042
[18] Golany, B., Roll, Y., 1994. Incorporating standards via DEA. In: Charnes, A., Cooper, W.W., Lewin, A.Y., Seiford, L.M. (Eds.), Data Envelopment Analysis: Theory, Methodology and Applications, Kluwer Academic Publishers, Dordrecht, pp. 313--328 · Zbl 0862.90008
[19] Larichev, O.; Polyakov, O.; Nikiforov, A.: Multicriterion linear programming problems (analytical survey). J. economic psychol. 8, 389-407 (1987)
[20] Nijkamp, P., Spronk, J., 1980. Interactive multiple goal programming: an evaluation and some results. In: Fandel, G., Gal, T. (Eds.), Multiple Criteria Decision Making Theory and Applications. Springer, Berlin, pp. 278--293 · Zbl 0434.90092
[21] Norman, M., Stoker, B., 1988. Data Envelopment Analysis: The Assessment of Performance. Wiley, Chichester
[22] Petersen, N. C.: Data envelopment analysis on a relaxed set of assumptions. Management sci. 36, No. 3, 305-314 (1990) · Zbl 0699.90009
[23] Seiford, L. M.; Thrall, R. M.: Recent developments in DEA: the mathematical programming approach to frontier analysis. J. econometrics 46, 7-38 (1990) · Zbl 0716.90015
[24] Spronk, J., 1981. Interactive Multiple Goal Programming: Applications to Financial Planning. Kluwer Nijhoff, Boston · Zbl 0465.90082
[25] Stewart, T. J.: Relationships between data envelopment analysis and multicriteria decision analysis. J. oper. Res. soc. 47, 654-665 (1996) · Zbl 0863.90006
[26] Thompson, R. G.; Jr., F. D. Singleton; Smith, B. A.; Thrall, R. M.: Comparative site evaluations for locating a high-energy physics lab in Texas. Interfaces 16, No. 6, 35-49 (1986)
[27] Thompson, R. G.; Dharmapala, P. S.; Thrall, R. M.: Linked-cone DEA profit ratios and technical efficiency with applications to illinois coal mines. Internat. J. Prod. economics 39, 99-115 (1995)
[28] Wong, Y.; Beasley, J. E.: Restricting weight flexibility in data envelopment analysis. J. oper. Res. soc. 41, 829-835 (1990) · Zbl 0711.90005