Assessing the sustainability of transport supply chains by double frontier network data envelopment analysis

Reza Farzipoor Saen*, Balal Karimi, Amirali Fathi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The transport industry is one of the main contributors to environmental pollution. Sustainable supply chain management (SSCM) is an essential subject in the transportation industry. Today, one of the important goals of organizations is to evaluate the sustainability of supply chain (SC) because assessing the efficiency of SCs helps organizations to enhance their awareness of performance and develop managerial strategies. Data envelopment analysis (DEA) is a common technique to assess the sustainability. The objective of this paper is to propose a Malmquist productivity index (MPI) based on network data envelopment analysis (NDEA) model in the presence of integer data, undesirable outputs, and non-discretionary inputs. The NDEA models deal with the internal structure of decision making units (DMUs). The MPI reflects the productivity change over time. The proposed model can fully rank DMUs. To prove the applicability of the proposed model, the sustainability of intercity passenger transportation is evaluated.

Original languageEnglish
Article number131771
JournalJournal of Cleaner Production
Volume354
DOIs
Publication statusPublished - Jun 20 2022

Keywords

  • Double frontier
  • Integer data
  • Malmquist productivity index (MPI)
  • Network data envelopment analysis (NDEA)
  • Non-discretionary inputs
  • Sustainability
  • Transportation industry
  • Undesirable outputs

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Building and Construction
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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