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Croatian Operational Research Review, Vol. 17 No. 1, 2026.

Original scientific paper

https://doi.org/10.17535/crorr.2026.0008

Multidecision criteria models for Logistics Performance Index in the EU countries

Ângela Silva orcid id orcid.org/0000-0001-7448-291X ; School of Engineering, University of Minho, Campus de Azurém 4804-533 Guimarães, Portugal; Algortimi Research Centre, University of Minho, Portugal; ADiT-Lab, Instituto Politécnico de Viana do Castelo, Portugal *
Bruna Barros ; Escola Superior de Ciências Empresariais, Instituto Politécnico de Viana do Castelo, Avenida Pinto da Mota, nº 330 4930-600 Valença, Portugal
Helena Sofia Rodrigues orcid id orcid.org/0000-0002-6319-7782 ; Escola Superior de Ciências Empresariais, Instituto Politécnico de Viana do Castelo, Avenida Pinto da Mota, nº 330 4930-600 Valença, Portugal; ADiT-Lab, Instituto Politécnico de Viana do Castelo, Portugal; CIDMA, Center for Research Development in Mathematics and Applications, University of Aveiro, Portugal

* Corresponding author.

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Abstract

Key factors influencing multicriteria logistics performance in the European Union (EU) include the weighting of evaluation criteria, infrastructure efficiency, logistics quality, and environmental impact. The Logistics Performance Index (LPI), which evaluates logistics systems across six dimensions, highlights how the importance assigned to these criteria significantly impacts national rankings. This study aims to enhance the understanding of logistics performance dynamics within Europe, supporting informed decision-making and continuous improvement in the region's logistics sector. To determine country rankings, the study applies the CRiteria Importance Through Intercriteria Correlation (CRITIC) method for weighting criteria, alongside the Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW) methods. The analysis utilizes LPI indicators from the 2023 World Bank dataset. The results indicate that Finland maintains its leading position in the LPI ranking. However, a significant number of countries experience shifts in their rankings depending on the weight assigned to each criterion, underscoring the sensitivity of logistics performance evaluation to methodological choices.

Keywords

CRITIC; Logistics Performance Index; MARCOS; SAW; TOPSIS

Hrčak ID:

335295

URI

https://hrcak.srce.hr/335295

Publication date:

11.9.2025.

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