
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Intermodal Terminal Subsystem Technology Selection Using Integrated Fuzzy MCDM Model

doi: 10.3390/su15043427
handle: 11587/511388
Intermodal transportation is the use of multiple modes of transportation, which can lead to greater sustainability by reducing environmental impact and traffic congestion and increasing the efficiency of supply chains. One of the preconditions for efficient intermodal transport is the efficient intermodal terminal (IT). ITs allow for the smooth and efficient handling of cargo, thus reducing the time, cost, and environmental impact of transportation. Adequate selection of subsystem technologies can significantly improve the efficiency and productivity of an IT, ultimately leading to cost savings for businesses and a more efficient and sustainable transportation system. Accordingly, this paper aims to establish a framework for the evaluation and selection of appropriate technologies for IT subsystems. To solve the defined problem, an innovative hybrid multi-criteria decision making (MCDM) model, which combines the fuzzy factor relationship (FFARE) and the fuzzy combinative distance-based assessment (FCODAS) methods, is developed in this paper. The FFARE method is used for obtaining criteria weights, while the FCODAS method is used for evaluation and a final ranking of the alternatives. The established framework and the model are tested on a real-life case study, evaluating and selecting the handling technology for a planned IT. The study defines 12 potential variants of handling equipment based on their techno-operational characteristics and evaluates them using 16 criteria. The results indicate that the best handling technology variant is the one that uses a rail-mounted gantry crane for trans-shipment and a reach stacker for horizontal transport and storage. The results also point to the conclusion that instead of choosing equipment for each process separately, it is important to think about the combination of different handling technologies that can work together to complete a series of handling cycle processes. The main contributions of this paper are the development of a new hybrid model and the establishment of a framework for the selection of appropriate IT subsystem technologies along with a set of unique criteria for their evaluation and selection.
- University of Mianwali Pakistan
- University of Kragujevac Serbia
- University of Niš Serbia
- University of Belgrade Serbia
- University of Mianwali Pakistan
handling technology selection, Environmental effects of industries and plants, fuzzy FARE, intermodal transport terminal, handling technology selection, hybrid MCDM, fuzzy FARE, fuzzy CODAS, integrated FFARE-FCODAS, intermodal transport terminal, integrated FFARE–FCODAS, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, GE1-350, hybrid MCDM, fuzzy CODAS
handling technology selection, Environmental effects of industries and plants, fuzzy FARE, intermodal transport terminal, handling technology selection, hybrid MCDM, fuzzy FARE, fuzzy CODAS, integrated FFARE-FCODAS, intermodal transport terminal, integrated FFARE–FCODAS, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, GE1-350, hybrid MCDM, fuzzy CODAS
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
