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Improving discernment in DEA using profiling

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  • Tofallis, C.

Abstract

The failure of data envelopment analysis to provide adequate discrimination between a small number of alternatives is illustrated using a facility location problem. A straightforward modification which finds a desirability (or relative efficiency) score for each input variable provides greater discrimination and at the same time discerns the strengths and weaknesses of each alternative.

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  • Tofallis, C., 1996. "Improving discernment in DEA using profiling," Omega, Elsevier, vol. 24(3), pages 361-364, June.
    • Handle: RePEc:eee:jomega:v:24:y:1996:i:3:p:361-364
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    References listed on IDEAS

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    1. Stewart, TJ, 1992. "A critical survey on the status of multiple criteria decision making theory and practice," Omega, Elsevier, vol. 20(5-6), pages 569-586.
    2. Roll, Y & Golany, B., 1993. "Alternate methods of treating factor weights in DEA," Omega, Elsevier, vol. 21(1), pages 99-109, January.
    3. Stewart, TJ, 1994. "Data envelopment analysis and multiple criteria decision making: A response," Omega, Elsevier, vol. 22(2), pages 205-206, March.
    4. Doyle, J & Green, R, 1993. "Data envelopment analysis and multiple criteria decision making," Omega, Elsevier, vol. 21(6), pages 713-715, November.
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    1. Ravi Kumar Jain & Ramachandran Natarajan & Amlan Ghosh, 2016. "Decision Tree Analysis for Selection of Factors in DEA: An Application to Banks in India," Global Business Review, International Management Institute, vol. 17(5), pages 1162-1178, October.
    2. Oukil, Amar, 2020. "Exploiting value system multiplicity and preference voting for robust ranking," Omega, Elsevier, vol. 94(C).
    3. Manuel Espitia‐Escuer & Lucia Isabel Garcia‐Cebrian, 2020. "Efficiency of football teams from an organisation management perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 321-338, April.
    4. Chen, Chun-Mei, 2019. "Evaluating the efficiency change and productivity progress of the top global telecom operators since OTT's prevalence," Telecommunications Policy, Elsevier, vol. 43(7), pages 1-1.
    5. Liu, John S. & Lu, Wen-Min, 2010. "DEA and ranking with the network-based approach: a case of R&D performance," Omega, Elsevier, vol. 38(6), pages 453-464, December.
    6. Wang, Ying-Ming & Chin, Kwai-Sang, 2010. "Some alternative models for DEA cross-efficiency evaluation," International Journal of Production Economics, Elsevier, vol. 128(1), pages 332-338, November.
    7. Bogusław Guzik, 2009. "Basic analytical capabilities of the CCR-DEA model," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(1), pages 55-75.
    8. Mei-Huan Kuo & Chyan Yang, 2012. "Does intellectual capital matter? Assessing the profitability and marketability of IC design companies," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1865-1881, October.
    9. Lim, Sungmook & Oh, Kwang Wuk & Zhu, Joe, 2014. "Use of DEA cross-efficiency evaluation in portfolio selection: An application to Korean stock market," European Journal of Operational Research, Elsevier, vol. 236(1), pages 361-368.
    10. Green, Rodney & Doyle, John, 1996. "Improving discernment in DEA using profiling: A comment," Omega, Elsevier, vol. 24(3), pages 365-366, June.
    11. J S Liu & W-M Lu & C Yang & M Chuang, 2009. "A network-based approach for increasing discrimination in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1502-1510, November.
    12. Lo, Shih-Fang & Lu, Wen-Min, 2009. "An integrated performance evaluation of financial holding companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 198(1), pages 341-350, October.
    13. Bogusław Guzik, 2008. "CCR-DP model with dominated inflation function of inputs," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(4), pages 29-46.
    14. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    15. Ozren Despić & Mladen Despić & Joseph Paradi, 2007. "DEA-R: ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications," Journal of Productivity Analysis, Springer, vol. 28(1), pages 33-44, October.
    16. Sueyoshi, Toshiyuki, 1999. "DEA-discriminant analysis in the view of goal programming," European Journal of Operational Research, Elsevier, vol. 115(3), pages 564-582, June.

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