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A HYBRID SPC-MPSI-LOPCOW-BASED RAWEC DECISION MODEL FOR ASSESSING THE PERFORMANCE OF LOGISTICS COMPANIES IN FORTUNE 500 TURKIYE
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DOI:10.17270/J.LOG.001392.png)
Abstract
En 中文
Background: The rapid expansion of global operations has significantly increased the strategic importance of the logistics industry. Logistics performance plays a vital role in ensuring the efficient execution of international trade. The operational effectiveness of companies in this sector directly influences a country's economic structure; therefore, the performance of logistics firms has become a critical component of national economies. This study aims to propose a hybrid multi-criteria decision-making (MCDM) model to assess the performance of logistics companies listed in the Fortune 500 T & uuml;rkiye. Methods: This study applies a hybrid decision-making model integrating the SPC, MPSI, LOPCOW, and RAWEC methods. The evaluation is based on key criteria, including Net Sales, Change in Net Sales, Earnings Before Interest and Taxes (EBIT), Change in EBIT, Total Assets, Equity, Export Amount, and Number of Employees. Criterion weights are calculated using the SPC, MPSI, and LOPCOW methods, after which the RAWEC method is employed to evaluate and rank the logistics companies. Additionally, sensitivity and comparative analyses are conducted to assess the robustness of the results. Results: The results indicate that the Number of Employees is the most influential criterion, while Net Sales is the least influential. According to the RAWEC analysis, Mars, Noatum, and Netlog demonstrate the highest performance levels among logistics firms listed in the Fortune 500 T & uuml;rkiye. Moreover, the comparative analysis reveals a strong consistency between the proposed hybrid model and other applied MCDM methods, with Netlog and Mars emerging as the top-performing companies. Conclusion: The findings of this study offer valuable insights for policymakers, industry practitioners, and decision-makers aiming to benchmark and improve the performance of logistics firms in T & uuml;rkiye within an increasingly competitive global landscape.
Keywords:
Logistics
Fortune 500 T & uuml
rkiye
SPC
MPSI
LOPCOW
RAWEC
Journal
L
IF:
1
Papers:
23
Citations:
402
