A novel bidirectional network data envelopment analysis model for evaluating sustainability of distributive supply chains of transport companies

Amirali Fathi, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

Applying a realistic and practical model to evaluate sustainable supply chains has been an intricate challenge for decision makers. All previous network data envelopment analysis (NDEA) models deal with unidirectional connections. In this paper, for the first time, we develop an NDEA model to deal with bidirectional connections. In addition, for the first time, bounded connections are taken into account. In bounded connections, certain bounds are set for each criterion. We assess sustainability of an Iranian transport company's branches. Our model can rank distributive supply chains and recommend improvement solutions.

Original languageEnglish
Pages (from-to)696-708
Number of pages13
JournalJournal of Cleaner Production
Volume184
DOIs
Publication statusPublished - May 20 2018

Keywords

  • Backward connections
  • Bidirectional connections
  • Data envelopment analysis (DEA)
  • Network DEA
  • Sustainable supply chain management
  • Sustainable transportation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Environmental Science
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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