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A modified distance friction minimization approach in data envelopment analysis

Author

Listed:
  • Javad Vakili

    (University of Tabriz)

  • Hanieh Amirmoshiri

    (University of Tabriz)

  • Rashed Khanjani Shiraz

    (University of Tabriz)

  • Hirofumi Fukuyama

    (Fukuoka University)

Abstract

A multi-step distance friction minimization (DFM) approach has been developed to assist a decision making unit to improve its efficiency. This approach contracts inputs and expands outputs simultaneously through the minimization of distance friction relative to the strongly efficient frontier based on a weighted Euclidean norm. In this paper, we point out that the DFM approach has a problem by means of two numerical examples and then show how to solve the problem. Using a real data set, we not only confirm the occurrence of this problem inherent in the original formulation, but also demonstrate how our modification works.

Suggested Citation

  • Javad Vakili & Hanieh Amirmoshiri & Rashed Khanjani Shiraz & Hirofumi Fukuyama, 2020. "A modified distance friction minimization approach in data envelopment analysis," Annals of Operations Research, Springer, vol. 288(2), pages 789-804, May.
    • Handle: RePEc:spr:annopr:v:288:y:2020:i:2:d:10.1007_s10479-019-03232-z
    DOI: 10.1007/s10479-019-03232-z
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