Logistician selection problem in the maritime sector using the multi-criteria decision-making methods

Logistics processes are particularly important in the functioning of any company, organization, or state institution. It can be said that the whole economy and society are dependent on adequately designed logistics operations. Therefore, logistics professionals, often named logisticians, with adequate skills and experience, are respected and demanded in the labor market. This paper proposes a multi-criteria decision-making approach for personnel selection in the maritime sector. In the real-world case study, we illustrate the implementation of the proposed methodology for selecting the most appropriate logistician. We applied the combined FullEX-ARAS method. To obtain the criteria weights, we used the FullEX, characterized by collecting answers from experts and considering the expert reputation through years of experience and education degrees. For the final ranking of candidates, we applied the ARAS method. In this procedure, five evaluation criteria were considered for solving the concrete problem: Analytical and organizational skills, Years of experience in logistics, Language skills, Interpersonal skills, and Flexibility. The proposed approach proved its applicability and ranked the candidates who applied for the position of logistician in a maritime company, suggesting to a decision-maker which choice is the most appropriate.

Authors

Institutions

Publication Details

Journal
Transportation research procedia
Published
2025-01-01
DOI
https://doi.org/10.1016/j.trpro.2025.02.044
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Logistician selection problem in the maritime sector using the multi-criteria decision-making methods

Stefan Jovčić, Marina Zanne, Libor Švadlenka, Marjana Čubranić-Dobrodolac et al.
Transportation research procedia
Multi-Criteria Decision Making
article

Logistician selection problem in the maritime sector using the multi-criteria decision-making methods

Stefan Jovčić, Marina Zanne, Libor Švadlenka, Marjana Čubranić-Dobrodolac, Sara Bošković
article en

Abstract

Logistics processes are particularly important in the functioning of any company, organization, or state institution. It can be said that the whole economy and society are dependent on adequately designed logistics operations. Therefore, logistics professionals, often named logisticians, with adequate skills and experience, are respected and demanded in the labor market. This paper proposes a multi-criteria decision-making approach for personnel selection in the maritime sector. In the real-world case study, we illustrate the implementation of the proposed methodology for selecting the most appropriate logistician. We applied the combined FullEX-ARAS method. To obtain the criteria weights, we used the FullEX, characterized by collecting answers from experts and considering the expert reputation through years of experience and education degrees. For the final ranking of candidates, we applied the ARAS method. In this procedure, five evaluation criteria were considered for solving the concrete problem: Analytical and organizational skills, Years of experience in logistics, Language skills, Interpersonal skills, and Flexibility. The proposed approach proved its applicability and ranked the candidates who applied for the position of logistician in a maritime company, suggesting to a decision-maker which choice is the most appropriate.

Transportation research procediaVol. 83
University of Pardubice (CZ), University of Ljubljana (SI), University of Belgrade (RS)
Openalex Percentile: Top 94%
Multi-Criteria Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Logistician selection problem in the maritime sector using the multi-criteria decision-making methods — Stefan Jovčić, Marina Zanne, et al. · Transportation research procedia (2025) | TGRS Research Map | TGRS