OECD ÜLKELERININ LOJISTIK PERFORMANS ENDEKSININ HIBRIT ÇKKV YÖNTEMLERINE GÖRE DEĞERLENDIRILMESI

Abstract

Bu çalışma, entegre MCDM yöntemlerini kullanarak OECD ülkelerinin lojistik performans endeksini (LPI) değerlendirmeyi amaçlamaktadır. Bu çalışma için veriler “Rekabete Bağlanmak 2023 - LPI” raporundan elde edilmiştir. İlk olarak, kriterlerin ağırlıkları SD, CRITIC, LOPCOW ve MEREC gibi çeşitli yöntemlerle belirlenmiştir. Daha sonra, farklı yöntemlerden elde edilen kriter ağırlıkları, Toplu Ağırlıklandırma Yöntemi (AWM) ile birleştirilmiştir. OECD ülkelerinin LPI'leri CRADIS yöntemi kullanılarak sıralanmıştır. AWM sonuçları, izleme ve takip ile lojistik yeterliliği ve kalitenin sırasıyla en önemli ve en az önemli kriterler olduğunu göstermiştir. CRADIS yönteminin sonuçları Finlandiya'nın OECD ülkeleri arasında en iyi lojistik performansına sahip ülke olduğunu, Kosta Rika'nın ise en kötü lojistik performansına sahip olduğunu ortaya koymuştur. Buna ilaveten, önerilen modelin sağlamlığı ve geçerliliği duyarlılık analizi ve karşılaştırmalı analizle test edilmiştir.

Keywords

• LPI
• OECD
• ÇKKV

EVALUATION OF THE LOGISTICS PERFORMANCE INDEX OF OECD COUNTRIES BASED ON HYBRID MCDM METHODS

Abstract

This study aims to assess the logistics performance index (LPI) of OECD countries using the integrated MCDM methods. For this investigation, the data was obtained from the “Connecting to Compete 2023 - LPI” report. At first, the weight of criteria was determined by several methods such as SD, CRITIC, LOPCOW and MEREC. Then, criteria weights obtained from different methods were combined with the Aggregate Weighting Method (AWM). The LPI of OECD countries were ranked using the CRADIS method. The results of the AWM showed that tracking and tracing, and logistics competence and quality were the most and least important criteria, respectively. The results of the CRADIS method revealed that Finland was the best-ranked logistics performance, while Costa Rica was the worst-ranked logistics performance in the OECD countries. Additionally, the robustness and validity of the proposed model was tested by sensitivity analysis and comparative analysis.

Keywords

• LPI
• OECD
• MCDM

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