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Sensitivity in DEA: an algorithmic approach

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Abstract

This paper considers an algorithmic approach to sensitivity in Data Envelopment Analysis for the CCR and Additive models. Specifically, it gives sufficient conditions that preserve the efficiency of a decision-making unit (DMU) under arbitrary perturbations of the inputs and/or outputs of the DMUs. The paper illustrates the results for the Additive model.

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Authors and Affiliations

  1. Faculty of Economics and Business, University of Zagreb, Trg J. F. Kennedy 6, 10000, Zagreb, Croatia

    Luka Neralić

  2. Katz Graduate School of Business, University of Pittsburgh, 262 Mervis Hall, Pittsburgh, PA, 15260, USA

    Richard E. Wendell

Authors
  1. Luka Neralić
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  2. Richard E. Wendell
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Corresponding author

Correspondence to Luka Neralić.

Additional information

The paper is devoted to Professor Abraham Charnes in occasion of hundred years since his birthday September 4, 2017.

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Neralić, L., Wendell, R.E. Sensitivity in DEA: an algorithmic approach. Cent Eur J Oper Res 27, 1245–1264 (2019). https://doi.org/10.1007/s10100-018-0587-y

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  • DOI: https://doi.org/10.1007/s10100-018-0587-y

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