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A new non-oriented model for classifying flexible measures in DEA

Author

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  • G. Tohidi

    (Islamic Azad University, Central Tehran Branch)

  • F. Matroud

    (Islamic Azad University, Central Tehran Branch)

Abstract

In conventional data envelopment analysis (DEA), measures are classified as either input or output. However, in some real cases there are variables which act as both input and output and are known as flexible measures. Most of the previous suggested models for determining the status of flexible measures are oriented. One important issue of these models is that unlike standard DEA, even under constant returns to scale the input- and output-oriented model may produce different efficiency scores. Also, can be expected a flexible measure is selected as an input variable in one model but an output variable in the other model. In addition, in all of the previous studies did not point to variable returns to scale (VRS), but the VRS assumption is prevailed on many real applications. To deal with these issues, this study proposes a new non-oriented model that not only selects the status of each flexible measure as an input or output but also determines returns to scale status. Then, the aggregate model and an extension with the negative data related to the proposed approach are presented.

Suggested Citation

  • G. Tohidi & F. Matroud, 2017. "A new non-oriented model for classifying flexible measures in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1019-1029, September.
    • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:9:d:10.1057_s41274-017-0207-6
    DOI: 10.1057/s41274-017-0207-6
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    References listed on IDEAS

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    1. Toloo, Mehdi, 2009. "On classifying inputs and outputs in DEA: A revised model," European Journal of Operational Research, Elsevier, vol. 198(1), pages 358-360, October.
    2. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    3. 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.
    4. Beasley, J. E., 1990. "Comparing university departments," Omega, Elsevier, vol. 18(2), pages 171-183.
    5. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    6. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, October.
    7. Andrea Bonaccorsi & Cinzia Daraio & Léopold Simar, 2006. "Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 389-410, February.
    8. Bala, Kamel & Cook, Wade D., 2003. "Performance measurement with classification information: an enhanced additive DEA model," Omega, Elsevier, vol. 31(6), pages 439-450, December.
    9. Tommaso Agasisti, 2011. "Performances and spending efficiency in higher education: a European comparison through non-parametric approaches," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 199-224.
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    Cited by:

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