A new Russell model for selecting suppliers

Majid Azadi, Amir Shabani, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Recently, supply chain management (SCM) has been considered by many researchers. Supplier evaluation and selection plays a significant role in establishing an effective SCM. One of the techniques that can be used for selecting suppliers is data envelopment analysis (DEA). In some situations, to select suitable suppliers, purchasing managers deal with undesirable outputs, dual-role factors and imprecise data. The objective of this paper is to propose a new Russell model for selecting the best suppliers in the presence of undesirable outputs, dual-role factors and imprecise data. A case study demonstrates the application of the proposed method.

Original languageEnglish
Pages (from-to)23-48
Number of pages26
JournalInternational Journal of Integrated Supply Management
Volume9
Issue number1-2
DOIs
Publication statusPublished - 2014

Keywords

  • Dual-role factor
  • Imprecise data
  • Russell measure
  • Supplier selection
  • Undesirable outputs

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