Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model

Intermodal transport enables energy, costs and time savings, improves the service quality and supports sustainable development. The basic element of the intermodal transport system is an intermodal terminal, whose efficiency largely depends on the subsystems’ technologies. Accordingly, the topic of...

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Bibliographic Details
Published inPromet Vol. 31; no. 1; pp. 89 - 100
Main Authors Krstić, Mladen Dragan, Tadić, Snežana Radoman, Brnjac, Nikolina, Zečević, Slobodan
Format Journal Article
LanguageEnglish
Published Fakultet prometnih znanosti Sveučilišta u Zagrebu 01.02.2019
University of Zagreb, Faculty of Transport and Traffic Sciences
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Summary:Intermodal transport enables energy, costs and time savings, improves the service quality and supports sustainable development. The basic element of the intermodal transport system is an intermodal terminal, whose efficiency largely depends on the subsystems’ technologies. Accordingly, the topic of this paper is the evaluation and the selection of the appropriate handling equipment within the intermodal terminal. As the decision-making on the handling equipment is influenced by different economic, technical, technological and other criteria, the appropriate multi-criteria decision-making (MCDM) methods have to be applied in order to solve the problem. In this paper, a novel hybrid model which combines the fuzzy step-wise weight assessment ratio analysis (FSWARA) and the fuzzy best-worst method (FBWM) is developed. The defined model is applied for solving the case study of selecting adequate handling equipment for the planned intermodal terminal in Belgrade. The reach stacker is selected as the most adequate handling equipment since it suits best the characteristics of the planned terminal in the given conditions and in relation to the defined criteria. Solving the case study demonstrated the justification for using the MCDM methods to solve these kinds of problems as well as the applicability of the proposed MCDM model.
Bibliography:217561
ISSN:0353-5320
1848-4069
DOI:10.7307/ptt.v31i1.2949