Selecting and full ranking suppliers with imprecise data: A new DEA method

Mehdi Toloo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

Supplier selection, a multi-criteria decision making (MCDM) problem, is one of the most important strategic issues in supply chain management (SCM). A good solution to this problem significantly contributes to the overall supply chain performance. This paper proposes a new integrated mixed integer programming ‐ data envelopment analysis (MIP‐DEA) model for finding the most efficient suppliers in the presence of imprecise data. Using this model, a new method for full ranking of units is introduced. This method tackles some drawbacks of the previous methods and is computationally more efficient. The applicability of the proposed model is illustrated, and the results and performance are compared with the previous studies.

Original languageEnglish
Pages (from-to)1141-1148
Number of pages8
JournalInternational Journal of Advanced Manufacturing Technology
Volume74
Issue number5-8
DOIs
Publication statusPublished - Sep 2014
Externally publishedYes

Keywords

  • Best efficient unit
  • Data envelopment analysis
  • Full ranking method
  • Imprecise data
  • Supplier selection
  • Uncertainly

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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