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EN
Background: The COVID-19 pandemic exposed vulnerabilities in global supply chains, highlighting the urgent need for resilience and sustainability. As businesses recover and adapt, selecting sustainable suppliers has become crucial to ensure long-term environmental, social, and economic stability. Sustainable supplier selection not only supports these goals but also enhances competitive advantage in a rapidly changing business landscape. This study was initiated to address these post-pandemic challenges, providing a systematic evaluation of suppliers based on sustainability using multi-criteria decision-making (MCDM) methods. It aims to assess the effectiveness of MEREC and CoCoSo methods in supporting sustainable supplier selection, offering insights and strategic guidance for businesses. To this end, it develops a novel approach integrating these methods that facilitates effective and sustainable supplier selection in the context of post-pandemic supply chain challenges. Methods: The study evaluates seven suppliers against five key criteria relevant to sustainable supply chains: environmental sustainability, social responsibility, cost, delivery time, and supplier reliability. The MEREC method is employed to assign weights to each criterion, establishing their relative importance in the supplier selection process. Following this, the CoCoSo method ranks the suppliers based on these weighted criteria, facilitating the identification of the most suitable supplier for sustainability-focused objectives. The combined use of MEREC and CoCoSo enables a robust and balanced approach to multi-criteria decision-making. Results: The MEREC analysis indicates that environmental sustainability and cost are the most critical criteria in sustainable supplier selection. Using the CoCoSo method, suppliers are ranked according to their performance across the criteria, with the top supplier offering the optimal sustainability balance. The findings support the use of these methods to prioritize suppliers aligned with sustainability goals, emphasizing the flexibility of CoCoSo in supplier ranking and the accuracy of MEREC in weight calculation. Conclusion: This study demonstrates the advantages of integrating the MEREC and CoCoSo methods in sustainable supplier selection processes. Its findings could guide businesses looking to optimize sustainability-focused decision-making processes in supply chain management. Future studies could expand the scope of this research by including more criteria and alternatives, and the approach could be adapted for sustainable supply chain practices in various industries. Such studies would contribute to global supply chain sustainability by supporting companies in fulfilling their environmental and social responsibilities.
EN
The paper presents an analysis of the impact of normalization techniques on the ranking of alternatives obtained using the combined compromise solution (CoCoSo) method. Similarity measures known from the literature and a new measure called the TOPSIS similarity measure (TOPSIS-SM) are used to assess the resulting rankings. This new measure is based on the TOPSIS algorithm, where the arithmetic mean of the considered rankings is taken as the ideal solution. In contrast, the antiideal solution is divided into a minimum and a maximum solution, which exhibit maximum separation from the ideal solution. The results obtained by this new method are different from those obtained using other similarity measures known from the literature.
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