How to assess sustainability of suppliers in volume discount context? A new data envelopment analysis approach

Mohammad Izadikhah, Reza Farzipoor Saen*, Kourosh Ahmadi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

In this paper, we reformulate conventional data envelopment analysis (DEA) models and propose a novel method for evaluating sustainability of suppliers in the presence of interval volume discount offers, fuzzy data, and ordinal data. To this end, we convert all data into interval data. To convert fuzzy data into interval data, we use nearest weighted interval approximation by applying weighting function and we convert each ordinal data into interval one. Then, using enhanced Russell model, interval efficiencies are obtained. After that, using preference degree approach, we rank suppliers. Finally, a case study is presented to illustrate our proposed approach.

Original languageEnglish
Pages (from-to)102-121
Number of pages20
JournalTransportation Research Part D: Transport and Environment
Volume51
DOIs
Publication statusPublished - Mar 1 2017

Keywords

  • Data envelopment analysis (DEA)
  • Fuzzy data
  • Interval data
  • Nearest weighted interval approximation
  • Ordinal data
  • Sustainable supply chain management
  • Volume discount

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Environmental Science(all)

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