Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis

Saeed Yousefi, Hadi Shabanpour, Ron Fisher*, Reza Farzipoor Saen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)


One of the advantages of data envelopment analysis (DEA) is to determine benchmarks for inefficient decision making units (DMUs). However, determination of the benchmarks is the result of past performance of DMUs. In other words, the benchmarks do not provide any recommendation for improvement of future efficiency of DMUs. On the other hand, in dynamic DEA models often no DMU gets the efficiency score of unity. In this case, although we can rank the DMUs, we cannot introduce an efficient DMU and benchmarks. To overcome these shortcomings we propose a dynamic ideal DMU using dynamic DEA and scenario-based model of robust. A case study showing the model in use provided.

Original languageEnglish
Pages (from-to)72-85
Number of pages14
JournalMeasurement: Journal of the International Measurement Confederation
Publication statusPublished - Apr 1 2016


  • Data envelopment analysis (DEA)
  • Dynamic DEA
  • Dynamic ideal decision making unit (DIDMU)
  • Relative efficiency
  • Scenario-based model of robust
  • Sustainable suppliers evaluation and ranking

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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