A note on DEA models in technology selection: an improvement of Karsak and Ahiska's approach

Gholam R. Amin*, Ali Emrouznejad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces a compact form for the maximum value of the non-Archimedean in Data Envelopment Analysis (DEA) models applied for the technology selection, without the need to solve a linear programming (LP). Using this method the computational performance the common weight multi-criteria decision-making (MCDM) DEA model proposed by Karsak and Ahiska (International Journal of Production Research, 2005, 43(8), 1537-1554) is improved. This improvement is significant when computational issues and complexity analysis are a concern.

Original languageEnglish
Pages (from-to)2313-2316
Number of pages4
JournalInternational Journal of Production Research
Volume45
Issue number10
DOIs
Publication statusPublished - 2007

Keywords

  • DEA
  • maximum non-Archimedean
  • technology selection

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