Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains

Tahmoures Samavati, Taliva Badiezadeh, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Data envelopment analysis (DEA) is one of the techniques for assessing sustainability of supply chains. There have been raising interests in incorporating sustainability in supply chain operations. The objective of this article is to develop a dynamic network DEA (DNDEA) model for calculating both optimistic and pessimistic efficiency and effectiveness. Also, our proposed model can deal with undesirable outputs. Our model can rank sustainable supply chains in terms of optimistic and pessimistic efficiency and effectiveness. A case study demonstrates efficacy of our proposed model.

Original languageEnglish
Pages (from-to)804-829
Number of pages26
JournalDecision Sciences
Volume51
Issue number3
DOIs
Publication statusPublished - Jun 1 2020

Keywords

  • Double Frontier
  • Dynamic Data Envelopment Analysis
  • Efficiency and Effectiveness
  • Network Data Envelopment Analysis (NDEA)
  • Sustainable Supply Chain Management
  • Undesirable Outputs

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Strategy and Management
  • Information Systems and Management
  • Management of Technology and Innovation

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