A novel integrated large-scale group MCDM model under fuzzy environment for selection of reach stacker in a container terminal.

The selection of transshipment and handling machinery in container terminals is a complex and responsible task due to a number of daily operations required. Accordingly, there is a need to manage a circular economy that integrates economic parameters and attitudes toward the environment. Depending on the size of the container terminal itself, a necessary set of means for performing transshipment and handling operations is designed. In this paper, based on the previously identified needs of the IRT Belgrade container terminal, the evaluation and selection of a reach stacker within large-scale group decision making under fuzzy environment was performed. The main goal of the paper is to create an adequate fuzzy group multi-criteria decision making (MCDM) model based on the integration of Fuzzy FUCOM (Full Consistency Method), Fuzzy MARCOS (Measurement of alternatives and ranking according to COmpromise solution) and Fuzzy Bonferroni Mean (BM) operator. It was formed a total of 15 criteria divided into three basic groups: economic, technological and technical, which were evaluated on the basis of 18 experts. To determine the weight values ​​of the criteria, the Fuzzy FUCOM method was applied through a total of 72 models averaged using the Fuzzy BM operator. Evaluation and selection of a reach stacker (RS) was performed using the Fuzzy MARCOS method and the Fuzzy BM operator. The obtained results have shown that the most important group of criteria in group decision making and processing of a larger set of data is the technological group. The best option is the seventh variant, and thus the requirement to select RS for the container terminal is met. The verification of the obtained results was performed through the following phases: the influence of the reverse rank fuzzy matrix, simulation of the weight values ​​of the criteria through 50 formed scenarios and comparison with two other MCDM methods in a fuzzy form. [ABSTRACT FROM AUTHOR]