A new super-efficiency dual-role FDH procedure: An application in dairy cold chain for vehicle selection

Amir Shabani, Seyed Mohammad Reza Torabipour, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Cold chain management (CCM) is a system in which perishable products are managed. For the success of transportation system of CCM, optimal selection of vehicle is a significant subject. Data envelopment analysis (DEA) can be used for vehicle selection problems. However, in this particular area, conventional DEA models are faced with difficulties. The problem are: 1) dual-role factors which classical DEA models cannot deal with them; 2) comparing decision making units (DMUs) with virtual DMUs (not with actual DMUs); 3) tie between DMUs (i.e., many DMUs are recognised efficient; 4) infeasibility of DEA ranking model for certain data. In this paper, a new procedure is developed to rectify the mentioned shortcomings. The proposed procedure, which utilises free disposal hull (FDH) technology, is a super-efficiency approach to provide a full ranking of efficient DMUs in the presence of dual-role factors. A case study illustrates application of the proposed procedure.

Original languageEnglish
Pages (from-to)426-456
Number of pages31
JournalInternational Journal of Shipping and Transport Logistics
Issue number4
Publication statusPublished - 2015


  • CCM
  • Cold chain management
  • Data envelopment analysis
  • DEA
  • Dual-role factor
  • FDH
  • Free disposal hull
  • Vehicle selection

ASJC Scopus subject areas

  • Business and International Management
  • Transportation
  • Management Science and Operations Research
  • Management of Technology and Innovation

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