Reprint of "Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers"

Majid Azadi, Amir Shabani, Mohsen Khodakarami, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

To meet green supply chain management's requirements of a company and its transportation service providers (TSPs), it is essential to set clear, achievable, and realistic targets. This paper proposes two data envelopment analysis (DEA) approaches to find targets for two-stage network structures. The objective of proposed approaches is to plan in feasible region. The feasible region specifies bounds to ensure targets are within current operational capacity of TSPs. Applying the approaches to set targets for 24 TSPs lead to different results. However, proposed models ensure that the TSPs would be efficient in their current capacity.

Original languageEnglish
Pages (from-to)22-36
Number of pages15
JournalTransportation Research Part E: Logistics and Transportation Review
Volume74
DOIs
Publication statusPublished - Feb 1 2015

Keywords

  • Feasible planning region
  • Goal-directed benchmarking
  • Green supply chain management
  • Multi-objective linear programming
  • Network data envelopment analysis
  • Supplier monitoring
  • Target setting

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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