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A modified slacks-based measure of efficiency in data envelopment analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10244988" target="_blank" >RIV/61989100:27510/20:10244988 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.ejor.2020.04.019" target="_blank" >https://doi.org/10.1016/j.ejor.2020.04.019</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ejor.2020.04.019" target="_blank" >10.1016/j.ejor.2020.04.019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A modified slacks-based measure of efficiency in data envelopment analysis

  • Original language description

    The slacks-based measure (SBM) model can divide the set of observations into two mutually exclusive and collectively exhaustive sets: efficient and inefficient. However, it fails to provide more details about efficient DMUs, which reveals the lack of discrimination power in the SBM model. With the aim of addressing this issue, the super SBM (SupSBM) model has been suggested which can rank the SBM-efficient DMUs without providing any useful information about SBM-inefficient DMUs. As a result, in order to fully rank both efficient and inefficient DMUs, one needs to run both SBM and SupSBM models which leads to a significant increase in the number of required computations. This paper tackles this problem and modifies the SBM model which measures SBM-efficiency score for inefficient DMUs and SupSBM-efficiency score for strong efficient DMUs, simultaneously. Finally, a simulation study is presented to illustrate the superiority of our proposed model over the existing models with various problem sizes. (C) 2020 Elsevier B.V.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA19-13946S" target="_blank" >GA19-13946S: Performance evaluation in the presence of unclassified factors</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    European Journal of Operational Research

  • ISSN

    0377-2217

  • e-ISSN

  • Volume of the periodical

    287

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    560-571

  • UT code for WoS article

    000550057300012

  • EID of the result in the Scopus database

    2-s2.0-85086432081