A new DEA model for technology selection in the presence of ordinal data

Gholam R. Amin*, Ali Emrouznejad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper suggests a data envelopment analysis (DEA) model for selecting the most efficient alternative in advanced manufacturing technology in the presence of both cardinal and ordinal data. The paper explains the problem of using an iterative method for finding the most efficient alternative and proposes a new DEA model without the need of solving a series of LPs. A numerical example illustrates the model, and an application in technology selection with multi-inputs/multi-outputs shows the usefulness of the proposed approach.

Original languageEnglish
Pages (from-to)1567-1572
Number of pages6
JournalInternational Journal of Advanced Manufacturing Technology
Volume65
Issue number9-12
DOIs
Publication statusPublished - 1 Apr 2012

Keywords

  • Data envelopment analysis (DEA)
  • Decision-making units (DMUs)
  • Ordinal data
  • Technology selection

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