Assessing sustainability of supply chains: An inverse network dynamic DEA model

Majid Kalantary, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

In this paper, we assess sustainability of supply chains by data envelopment analysis (DEA). DEA is a popular and beneficial method to assess efficiency of decision making units (DMUs). We introduce a network dynamic DEA model to assess sustainability of supply chains in multiple periods. Furthermore, we introduce an inverse network DEA model in dynamic context. Given results of case study, sustainable supply chains invest on triple bottom-lines of sustainability.

Original languageEnglish
Pages (from-to)1224-1238
Number of pages15
JournalComputers and Industrial Engineering
Volume135
DOIs
Publication statusPublished - Sep 2019

Keywords

  • Dynamic data envelopment analysis
  • Inverse data envelopment analysis
  • Network data envelopment analysis
  • Supply chain management
  • Sustainability

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this