EVALUATING THE LOGISTICS PERFORMANCE OF THE EU CANDIDATE AND MEMBER COUNTRIES USING THE WENSLO AND ARTASI METHODS

Recently, important interconnected events experienced around the world, such as COVID-19, the blockage of the Suez Canal, and the decrease in the water level in the Panama Canal, have revealed the importance of logistics activities. This study aimed to evaluate the logistics performances of European Union (EU) candidates and member countries using Multi-Criteria Decision-Making (MCDM) methods. This study applied the six Logistic Performance Index (LPI) criteria, and it utilized a criteria-weighting method known as Weights by ENvelope and SLOpe (WENSLO) and an MCDM method called Alternative Ranking Technique based on Adaptive Standardized Intervals (ARTASI) to assess 8 EU candidates (EUc) and 27 EU members (EUm). The findings are compared with the ANGLE, CRITIC, CVM, ENTROPY, GINI, LOPCOW, MEREC, and SD methods for the WENSLO method, and the MABAC, MARCOS, WASPAS, TOPSIS, CRADIS, PIV, and CoCoSo methods are used for the ARTASI method. Finland, a Northern European high-income economy, was ranked first, and Cyprus, although it is an island country and may have logistical connections with many countries, was ranked last among EU countries. On the other hand, Türkiye, which ranks first among the EUc for the LPI by the MCDM, is in a better situation than some EUm. However, other candidates are ranked after the members. This study addresses a relevant and timely topic in the field of logistics performance. In this regard, the use of innovative methods (WENSLO and ARTASI) sets the paper apart from other studies.

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Publication Details

Journal
Pamukkale University Journal of Social Sciences Institute
Published
2025-05-02
DOI
https://doi.org/10.30794/pausbed.1594714
Citations
5
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
10.53
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article

EVALUATING THE LOGISTICS PERFORMANCE OF THE EU CANDIDATE AND MEMBER COUNTRIES USING THE WENSLO AND ARTASI METHODS

Ata Kahveci, Nuh Keleş
5 citations
Pamukkale University Journal of Social Sciences Institute
Multi-Criteria Decision Making
10.53
article

EVALUATING THE LOGISTICS PERFORMANCE OF THE EU CANDIDATE AND MEMBER COUNTRIES USING THE WENSLO AND ARTASI METHODS

Ata Kahveci, Nuh Keleş
article en
5 citations

Abstract

Recently, important interconnected events experienced around the world, such as COVID-19, the blockage of the Suez Canal, and the decrease in the water level in the Panama Canal, have revealed the importance of logistics activities. This study aimed to evaluate the logistics performances of European Union (EU) candidates and member countries using Multi-Criteria Decision-Making (MCDM) methods. This study applied the six Logistic Performance Index (LPI) criteria, and it utilized a criteria-weighting method known as Weights by ENvelope and SLOpe (WENSLO) and an MCDM method called Alternative Ranking Technique based on Adaptive Standardized Intervals (ARTASI) to assess 8 EU candidates (EUc) and 27 EU members (EUm). The findings are compared with the ANGLE, CRITIC, CVM, ENTROPY, GINI, LOPCOW, MEREC, and SD methods for the WENSLO method, and the MABAC, MARCOS, WASPAS, TOPSIS, CRADIS, PIV, and CoCoSo methods are used for the ARTASI method. Finland, a Northern European high-income economy, was ranked first, and Cyprus, although it is an island country and may have logistical connections with many countries, was ranked last among EU countries. On the other hand, Türkiye, which ranks first among the EUc for the LPI by the MCDM, is in a better situation than some EUm. However, other candidates are ranked after the members. This study addresses a relevant and timely topic in the field of logistics performance. In this regard, the use of innovative methods (WENSLO and ARTASI) sets the paper apart from other studies.

Pamukkale University Journal of Social Sciences Institute(68)
Tarsus University (TR)
Openalex Percentile: Top 2%
Multi-Criteria Decision Making
10.53
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EVALUATING THE LOGISTICS PERFORMANCE OF THE EU CANDIDATE AND MEMBER COUNTRIES USING THE WENSLO AND ARTASI METHODS — Ata Kahveci, Nuh Keleş · Pamukkale University Journal of Social Sciences Institute (2025) | TGRS Research Map | TGRS