Araştırma Makalesi

A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES

Sayı: 71 3 Kasım 2025
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A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES

Öz

This paper analyzes the supply chain performance of various European countries through a hybrid Multi-Criteria Decision-Making (MCDM) model. The evaluation of supply chain performance is based on ten criteria identified through a literature review. Data for this study were obtained from the World Bank’s report. The criteria weights are determined using the Symmetry Point of Criterion (SPC) method, while evaluating supply chain performance across European countries is conducted by the Magnitude of the Area for the Ranking of Alternatives (MARA) method. The SPC analysis indicates that maritime connectivity is the most critical criterion, whereas postal connectivity is deemed the least significant. The MARA findings highlight that the Netherlands, the United Kingdom, Germany, Spain, and Cyprus exhibit the highest supply chain performance levels. Conversely, Denmark, Slovenia, Lithuania, Bulgaria, and Malta show the lowest performance. Additionally, a comparative analysis was performed to validate the robustness of the results.

Anahtar Kelimeler

Kaynakça

  1. Allam, Z., Bibri, S. E., & Sharpe, S. A. (2022). The rising impacts of the COVID-19 pandemic and the Russia–Ukraine war: energy transition, climate justice, global inequality, and supply chain disruption. Resources, 11(11), 99.
  2. Arvis, J. F., Ojala, L., Shepherd, B., Ulybina, D., & Wiederer, C. (2023). Connecting to Compete 2023: Trade Logistics in The Global Economy—The Logistics Performance Index and Its Indicators. Washington, DC: World Bank.
  3. Arvis, J. F., Ulybina, D., & Wiederer, C. (2024). From survey to big data: The new logistics performance index. Policy Research Working Paper, 10772.
  4. Chand, P., Thakkar, J. J., & Ghosh, K. K. (2020). Analysis of supply chain performance metrics for Indian mining & earthmoving equipment manufacturing companies using hybrid MCDM model. Resources Policy, 68, 101742.
  5. Chatterjee, S., & Chakraborty, S. (2024). A study on the effects of objective weighting methods on TOPSIS-based parametric optimization of non-traditional machining processes. Decision Analytics Journal, 11, 100451.
  6. Chithambaranathan, P., Subramanian, N., Gunasekaran, A., & Palaniappan, P. K. (2015). Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. International Journal of Production Economics, 166, 163-176.
  7. Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.
  8. Ecer, F., & Pamucar, D. (2022). A novel LOPCOW‐DOBI multi‐criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 112, 102690.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Uluslararası Lojistik

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

16 Ekim 2025

Yayımlanma Tarihi

3 Kasım 2025

Gönderilme Tarihi

2 Şubat 2025

Kabul Tarihi

21 Ağustos 2025

Yayımlandığı Sayı

Yıl 2025 Sayı: 71

Kaynak Göster

APA
Özekenci, E. K. (2025). A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 71, 101-120. https://doi.org/10.30794/pausbed.1631489
AMA
1.Özekenci EK. A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES. PAUSBED. 2025;(71):101-120. doi:10.30794/pausbed.1631489
Chicago
Özekenci, Emre Kadir. 2025. “A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, sy 71: 101-20. https://doi.org/10.30794/pausbed.1631489.
EndNote
Özekenci EK (01 Kasım 2025) A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 71 101–120.
IEEE
[1]E. K. Özekenci, “A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES”, PAUSBED, sy 71, ss. 101–120, Kas. 2025, doi: 10.30794/pausbed.1631489.
ISNAD
Özekenci, Emre Kadir. “A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi. 71 (01 Kasım 2025): 101-120. https://doi.org/10.30794/pausbed.1631489.
JAMA
1.Özekenci EK. A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES. PAUSBED. 2025;:101–120.
MLA
Özekenci, Emre Kadir. “A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, sy 71, Kasım 2025, ss. 101-20, doi:10.30794/pausbed.1631489.
Vancouver
1.Emre Kadir Özekenci. A HYBRID SPC-MARA DECISION MODEL FOR ASSESSING THE SUPPLY CHAIN PERFORMANCE OF EUROPEAN COUNTRIES. PAUSBED. 01 Kasım 2025;(71):101-20. doi:10.30794/pausbed.1631489


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