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

Emre Kadir Özekenci

Makale detayları

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

Yazarlar:

Emre Kadir Özekenci

Yayıncı:

Marmara University

Ana Başlıklar:

İşletme

Dergi:

Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.47 Issue 1, pp.47-76

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001345065

pISSN:

2587-2672

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

 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 LPIleri 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 Finlandiyanın OECD ülkeleri arasında en iyi lojistik performansına sahip ülke olduğunu, Kosta Rikanın ise en kötü lojistik performansına sahip olduğunu ortaya koymuştur. Buna ilaveten, önerilen modelin sağlamlığı ve geçerliliği duyarlılık analizi ve karşılaştırmalı analizle test edilmiştir.

Makale detayları

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

Yazarlar:

Emre Kadir Özekenci

Yayıncı:

Marmara University

Ana Başlıklar:

İşletme

Dergi:

Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.47 Issue 1, pp.47-76

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001345065

pISSN:

2587-2672

LPI

OECD

MCDMLPI

OECD

ÇKKV

Sayı

Makale detayları

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

Yazarlar: Emre Kadir Özekenci

Yayıncı: Marmara University

Ana Başlıklar: İşletme

Dergi: Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.47 Issue 1, pp.47-76

Belge Tipi: Makale

Yayın Tarihi: 4/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001345065

pISSN: 2587-2672

LPI

OECD

MCDMLPI

OECD

ÇKKV

Sayı

Yazarlar:

Emre Kadir Özekenci

Yayıncı:

Marmara University

Ana Başlıklar:

İşletme

Dergi:

Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi Vol.47 Issue 1, pp.47-76

Belge Tipi:

Makale

Yayın Tarihi:

4/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001345065

pISSN:

2587-2672