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Efficiency evaluation model with constraint resource: an application to banking operations

Author

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  • D Wu

    (1] RiskLab, University of Toronto, Toronto, Canada[2] School of Management, University of Science and Technology of China, Anhui Province, P.R. China)

  • C Luo

    (RiskLab, University of Toronto, Toronto, Canada)

  • L Liang

    (School of Management, University of Science and Technology of China, Anhui Province, P.R. China)

  • A Dolgui

    (Centre for Industrial Engineering and Computer Science, Ecole Nationale Supérieure des Mines de Saint-Etienne, Saint-Etienne, France)

Abstract

Competition is often presented in a free market. Efficiency evaluation of decision-making units (DMUs) needs accommodation of such competition among various units due to constrained resources. This paper develops an innovative quantitative approach to address the above-mentioned performance evaluation problem with constrained resource using output-oriented DEA. The proposed model allows DMUs to identify the maximum input reduction and resource savings to achieve performance improvement. Relations between the proposed model and classical output-oriented DEA models are explored and some economic insights are derived from these models. The proposed approach is validated by use of computational examples.

Suggested Citation

  • D Wu & C Luo & L Liang & A Dolgui, 2014. "Efficiency evaluation model with constraint resource: an application to banking operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(1), pages 14-22, January.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:1:p:14-22
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    Cited by:

    1. Kairui Zuo & Jiancheng Guan, 2017. "Measuring the R&D efficiency of regions by a parallel DEA game model," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 175-194, July.
    2. Peter Wanke & Carlos Barros & Nkanga Pedro João Macanda, 2016. "Predicting Efficiency in Angolan Banks: A Two-Stage TOPSIS and Neural Networks Approach," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 461-483, September.

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