A linear relational DEA model to evaluate two-stage processes with shared inputs

Mehdi Toloo*, Ali Emrouznejad, Plácido Moreno

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

Two-stage data envelopment analysis (DEA) efficiency models identify the efficient frontier of a two-stage production process. In some two-stage processes, the inputs to the first stage are shared by the second stage, known as shared inputs. This paper proposes a new relational linear DEA model for dealing with measuring the efficiency score of two-stage processes with shared inputs under constant returns-to-scale assumption. Two case studies of banking industry and university operations are taken as two examples to illustrate the potential applications of the proposed approach.

Original languageEnglish
Pages (from-to)45-61
Number of pages17
JournalComputational and Applied Mathematics
Volume36
Issue number1
DOIs
Publication statusPublished - Mar 1 2017

Keywords

  • Data envelopment analysis (DEA)
  • IT investment
  • Research income
  • Shared inputs
  • Two-stage processes

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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