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Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model (CROSBI ID 261562)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Krstić, Mladen ; Tadić, Snežana ; Brnjac, Nikolina ; Zečević, Slobodan Intermodal Terminal Handling Equipment Selection Using a Fuzzy Multi-criteria Decision-making Model // Promet, 31 (2019), 1; 89-100. doi: 10.7307/ptt.v31i1.2949

Podaci o odgovornosti

Krstić, Mladen ; Tadić, Snežana ; Brnjac, Nikolina ; Zečević, Slobodan

engleski

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 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.

intermodal transport, terminal, handling equipment, fuzzy step-wise weight assessment ratio analysis, fuzzy best-worst method

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Podaci o izdanju

31 (1)

2019.

89-100

objavljeno

0353-5320

1848-4069

10.7307/ptt.v31i1.2949

Povezanost rada

Tehnologija prometa i transport

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