Abstract
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.
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