Evaluation of the Selection of Low-Bed Trailers in the Transportation of Oversized and Overweight Cargo: A Hybrid Picture Fuzzy CRITIC-MARCOS Model

Project logistics consists of operational processes that require attention, especially involving the transportation of heavy and sensitive loads. Trailer selection is a critical factor for the successful completion of projects, as trailers play a fundamental role in the safe and efficient transportation of loads. The characteristics of the cargo to be transported and the transportation requirements affect the type and characteristics of the trailer. Choosing the wrong trailer can lead to disruption of projects, additional costs, safety risks, and environmental damage. In addition, the use of improper equipment can compromise road safety and cause legal problems. Therefore, the choice of trailers is of great importance. The presence of many criteria in the selection process complicates this process. The excess of influencing factors requires the use of multi-criteria decision-making methods. This study presents a roadmap to guide decision-makers in selecting trailers for project logistics and heavy transportation using a hybrid decision-making procedure. This procedure combines the Picture Fuzzy CRITIC method, which is a multi-criteria decision-making technique that deals with subjective and imprecise information, and the MARCOS method, which is a multi-criteria decision-making technique that identifies the best alternative based on the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution. The results show that carrying capacity is more critical than economic criteria. The results of a comprehensive robustness test confirm the results obtained in the study.

Authors

Institutions

Publication Details

Journal
Journal of Soft Computing and Decision Analytics
Published
2025-02-20
DOI
https://doi.org/10.31181/jscda31202556
Citations
5
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
5.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the Selection of Low-Bed Trailers in the Transportation of Oversized and Overweight Cargo: A Hybrid Picture Fuzzy CRITIC-MARCOS Model

Ismail İyigün, Ömer Faruk Görçün
5 citations
Journal of Soft Computing and Decision Analytics
Urban and Freight Transport Logistics
5.03
article

Evaluation of the Selection of Low-Bed Trailers in the Transportation of Oversized and Overweight Cargo: A Hybrid Picture Fuzzy CRITIC-MARCOS Model

Ismail İyigün, Ömer Faruk Görçün
article en
5 citations

Abstract

Project logistics consists of operational processes that require attention, especially involving the transportation of heavy and sensitive loads. Trailer selection is a critical factor for the successful completion of projects, as trailers play a fundamental role in the safe and efficient transportation of loads. The characteristics of the cargo to be transported and the transportation requirements affect the type and characteristics of the trailer. Choosing the wrong trailer can lead to disruption of projects, additional costs, safety risks, and environmental damage. In addition, the use of improper equipment can compromise road safety and cause legal problems. Therefore, the choice of trailers is of great importance. The presence of many criteria in the selection process complicates this process. The excess of influencing factors requires the use of multi-criteria decision-making methods. This study presents a roadmap to guide decision-makers in selecting trailers for project logistics and heavy transportation using a hybrid decision-making procedure. This procedure combines the Picture Fuzzy CRITIC method, which is a multi-criteria decision-making technique that deals with subjective and imprecise information, and the MARCOS method, which is a multi-criteria decision-making technique that identifies the best alternative based on the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution. The results show that carrying capacity is more critical than economic criteria. The results of a comprehensive robustness test confirm the results obtained in the study.

Journal of Soft Computing and Decision AnalyticsVol. 3(1)
Trakya University (TR), Kadir Has University (TR)
Openalex Percentile: Top 6%
Urban and Freight Transport Logistics
5.03
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.

Evaluation of the Selection of Low-Bed Trailers in the Transportation of Oversized and Overweight Cargo: A Hybrid Picture Fuzzy CRITIC-MARCOS Model — Ismail İyigün, Ömer Faruk Görçün · Journal of Soft Computing and Decision Analytics (2025) | TGRS Research Map | TGRS