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Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)

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  • Harald Dyckhoff

    (RWTH Aachen)

  • Katrin Allen

    (RWTH Aachen)

Abstract

Summary Data Envelopment Analysis (DEA) is a collection of models measuring the relative efficiency of Decision Making Units with linear programming techniques. This paper examines the foundations of DEA in the theory of production and in Multiple Criteria Decision Making to point out its possibilities and limitations. Activity analysis is chosen as the theoretical frame to describe the problem and to derive a basic DEA model. The systematic approach and the consideration of MCDMknowledge lead to a sharper identification of the general DEA-axioms and the characteristics of basic DEA models. Finally, a constructive criticism provides useful hints for extensions and generalizations of DEA.

Suggested Citation

  • Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    • Handle: RePEc:spr:sjobre:v:51:y:1999:i:5:d:10.1007_bf03371573
    DOI: 10.1007/BF03371573
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    References listed on IDEAS

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    1. Roll, Y & Golany, B., 1993. "Alternate methods of treating factor weights in DEA," Omega, Elsevier, vol. 21(1), pages 99-109, January.
    2. Albach, Horst, 1980. "Average and Best-Practice Production Functions in German Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 29(1), pages 55-70, September.
    3. Doyle, J & Green, R, 1993. "Data envelopment analysis and multiple criteria decision making," Omega, Elsevier, vol. 21(6), pages 713-715, November.
    4. H. David Sherman & George Ladino, 1995. "Managing Bank Productivity Using Data Envelopment Analysis (DEA)," Interfaces, INFORMS, vol. 25(2), pages 60-73, April.
    5. Henry Tulkens, 2006. "On FDH Efficiency Analysis: Some Methodological Issues and Applications to Retail Banking, Courts and Urban Transit," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 311-342, Springer.
    6. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    7. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    8. Miettinen, Pauli & Hamalainen, Raimo P., 1997. "How to benefit from decision analysis in environmental life cycle assessment (LCA)," European Journal of Operational Research, Elsevier, vol. 102(2), pages 279-294, October.
    9. Niels Christian Petersen, 1990. "Data Envelopment Analysis on a Relaxed Set of Assumptions," Management Science, INFORMS, vol. 36(3), pages 305-314, March.
    10. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Thanassoulis, E. & Dyson, R. G., 1992. "Estimating preferred target input-output levels using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 56(1), pages 80-97, January.
    13. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    14. Peter Bogetoft, 1996. "DEA on Relaxed Convexity Assumptions," Management Science, INFORMS, vol. 42(3), pages 457-465, March.
    15. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    16. Stewart, TJ, 1994. "Data envelopment analysis and multiple criteria decision making: A response," Omega, Elsevier, vol. 22(2), pages 205-206, March.
    17. Hartmut Wolf, 1986. "Parametric Analysis in Linear Fractional Programming," Operations Research, INFORMS, vol. 34(6), pages 930-937, December.
    18. Werner Dinkelbach, 1967. "On Nonlinear Fractional Programming," Management Science, INFORMS, vol. 13(7), pages 492-498, March.
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    Cited by:

    1. Harald Dyckhoff & Sylvia Rassenhövel & Kirsten Sandfort, 2009. "Empirische Produktionsfunktion betriebswirtschaftlicher Forschung: Eine Analyse der Daten des Centrums für Hochschulentwicklung," Schmalenbach Journal of Business Research, Springer, vol. 61(1), pages 22-56, February.
    2. Thomas Ehrmann & Julian Dormann, 2008. "Inter-Organisationale Ausgestaltung der Entscheidungszentralisierung und produktive Effizienz: Eine empirische Analyse am Beispiel des Franchising," Schmalenbach Journal of Business Research, Springer, vol. 60(4), pages 326-354, June.

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