Sustainable transport fleet appraisal using a hybrid multi-objective decision making approach

Chunguang Bai*, Behnam Fahimnia, Joseph Sarkis

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

40 Citations (Scopus)


One of the most critical operational practices influencing the environmental sustainability of organizations and their supply chains is the transport of materials, products and people. The carbon footprints, materials depletion, and general pollution emissions from transport vehicles makes their environmental burdens significant. Thus, identifying, selecting and implementing more environmentally conscious transportation vehicles can be of paramount importance for the development and management of greener supply chains. Given the relative importance of this issue, it is surprising that research on transport fleet evaluation, especially from an environmental sustainability perspective, has been rather limited. A primary challenge in this context is the broad range of influencing factors that need to be considered, many of which are not fully and easily measurable. This paper aims to (1) develop a holistic framework for sustainable transport fleet appraisal incorporating various vehicle performance, economic and environmental criteria, (2) introduce a novel hybrid approach for sustainable transportation vehicle evaluation and selection by combining a three-parameter interval grey number with a rough set theory and VIKOR method, (3) investigate the application of the proposed approach in a case example where empirical data is collected from industry experts, (4) evaluate the robustness of the methodology through sensitivity analysis experiments, and (5) provide practical insights and directions for future research in this area.

Original languageEnglish
Peer-reviewed scientific journalAnnals of Operations Research
Issue number2
Pages (from-to)309-340
Number of pages32
Publication statusPublished - 01.10.2015
MoE publication typeA1 Journal article - refereed


  • 512 Business and Management
  • Transport fleet evaluation
  • Transportation vehicle
  • Environmental sustainability
  • Grey numbers
  • Rough set theory


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