Język polski English
LogForum Logo
Scopus Logo
Webofsc Logo

ISSN 1895-2038, e-ISSN:1734-459X

Submit manuscript
Newsletter subscription
Journal metrics
Indexed in:
Creative Commons licence CC BY-NC (Attribution-NonCommercial)

Issue 4/ 2020, article 6

Özcan Işik, Yüksel Aydin, Şerife Koşarolu

THE ASSESSMENT OF THE LOGISTICS PERFORMANCE INDEX OF CEE COUNTRIES WITH THE NEW COMBINATION OF SV AND MABAC METHODS

Abstract:

Background: The increase in global trade has caused logistics activities to be an important tool in providing strategic competitive advantage on a global scale. The logistics industry, which helps to facilitate the activities related to the movement of goods in the supply chain, is one of the fastest-growing sectors and has important effects on the economic performance of the countries. Measuring and evaluating the logistics performance of countries can enable them to reach their goals of achieving sustainable competitive advantage by revealing the strengths and weaknesses of logistics services in the entire supply chain. In this regard, the purpose of this study is to analyze and rank logistics performance in terms of selected 11 Central and Eastern European Countries (CEECs).

Methods: In this study, the SV (Statistical Variance) and the MABAC (Multi-Attributive Border Approximation area Comparison) methods are used to form a decision-making model in evaluating the logistic performance. In logistics performance evaluation, the SV method is used to weight the selected performance criteria, whereas the MABAC method is employed to evaluate and rank the logistics performance of CEECs.

Results: The results obtained from the SV method demonstrates that timeliness and infrastructure are the most and least significant performance criteria, respectively. According to the performance ranking of the countries by the MABAC method, the countries in the top three rankings are the Czech Republic, Poland and Hungary, respectively.

Conclusions: The fact that the ranking of the proposed hybrid model is the same as the original logistics performance index (LPI) ranking of the selected countries suggests that the proposed model is consistent.

Keywords: SV, MABAC, Logistics Performance, CEECs, Multi Criteria Decision Making.

Full text available in in english in format: Adobe Acrobat pdf article nr 6 - pdf

Streszczenie w jezyku polskim Streszczenie w jezyku polskim.

DOI: 10.17270/J.LOG.2020.504
For citation:

MLA Işik, Özcan, et al. "The assessment of the logistics performance index of cee countries with the new combination of sv and mabac methods." Logforum 16.4 (2020): 6. DOI: 10.17270/J.LOG.2020.504
APA Özcan Işik, Yüksel Aydin, Şerife Koşarolu (2020). The assessment of the logistics performance index of cee countries with the new combination of sv and mabac methods. Logforum 16 (4), 6. DOI: 10.17270/J.LOG.2020.504
ISO 690 IşIK, Özcan, AYDIN, Yüksel, KOşAROLU, Şerife. The assessment of the logistics performance index of cee countries with the new combination of sv and mabac methods. Logforum, 2020, 16.4: 6. DOI: 10.17270/J.LOG.2020.504
EndNote BibTeX RefMan