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Sequential data envelopment analysis

Author

Listed:
  • Rolf Färe

    (Oregon State University
    University of Maryland)

  • Valentin Zelenyuk

    (The University of Queensland)

Abstract

We consider a new class of Data Envelopment Analysis (DEA) modeling, which we call ‘sequential DEA’. This new approach is a relatively simple generalization of the standard and popular in practice DEA. It allows for analyzing efficiency of the decision making units that consist of a sequence of sub-DMUs (e.g., branches of banks, hospital holding company running a number of hospitals at different locations, hotel chains, etc.). The approach is embedded in the Hilbert sequence space ( $$\ell ^{2}$$ ℓ 2 ) and therefore it allows for potentially different numbers of the sub-DMUs as well as different numbers of inputs and outputs used by different decision making units. We hope this approach will open up a new stream of literature in the sense that many existing variations from the already rich literature on DEA can be adapted to this approach.

Suggested Citation

  • Rolf Färe & Valentin Zelenyuk, 2021. "Sequential data envelopment analysis," Annals of Operations Research, Springer, vol. 300(1), pages 307-312, May.
    • Handle: RePEc:spr:annopr:v:300:y:2021:i:1:d:10.1007_s10479-020-03924-x
    DOI: 10.1007/s10479-020-03924-x
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    References listed on IDEAS

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    Cited by:

    1. Valentin Zelenyuk, 2021. "Performance Analysis: Economic Foundations & Trends," CEPA Working Papers Series WP162021, School of Economics, University of Queensland, Australia.

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