Green transport fleet appraisal

Chunguang Bai*, Behnam Fahimnia, Joseph Sarkis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

One effective approach to improve the environmental burdens of logistics and transport operations is to ensure that evaluation and selection of transportation vehicles for organizations incorporate green attributes. Theavailability of different types of vehicles with varying performance characteristics as well as the breadth of environmental performance metrics have made the transport fleet decision making more complex and dynamic. This chapter presents a multicriteria decision-making (MCDM) approach, integrating Rough Set theory and VIKOR method, for sustainable transportation vehicles selection. First, the related sustainability attributes are identified from the existing literature to be added to the conventional performance-based and economic vehicle evaluation criteria. TheMCDM approach is then used for ranking and selecting the sustainable transportation vehicles. A numerical example is finally presented to illustrate the application of theproposed approach.

Original languageEnglish
Title of host publicationGreen Logistics and Transportation : A Sustainable Supply Chain Perspective
EditorsBehnam Fahimnia, Michael G.H. Bell, David A. Hensher, Joseph Sarkis
Number of pages20
Place of PublicationCham
PublisherSpringer International Publishing
Publication date2015
Pages63-82
ISBN (Print)9783319171807
ISBN (Electronic)9783319171814
DOIs
Publication statusPublished - 2015
MoE publication typeA3 Book chapter

Keywords

  • Environmental sustainability
  • Green
  • Rough set theory
  • Sustainable transportation fleet
  • Transportation vehicle
  • Vikor
  • 512 Business and Management

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  • Cite this

    Bai, C., Fahimnia, B., & Sarkis, J. (2015). Green transport fleet appraisal. In B. Fahimnia, M. G. H. Bell, D. A. Hensher, & J. Sarkis (Eds.), Green Logistics and Transportation: A Sustainable Supply Chain Perspective (pp. 63-82). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-17181-4_5