Increasing global competition and sustainability pressures have shifted supply chain management beyond a cost- and quality-oriented perspective. Today, firms are required to develop more holistic decision-making processes by incorporating environmental, social, and technological parameters. This study proposes an innovative supplier evaluation model that integrates sustainability principles with digital transformation dynamics. The model is structured around four main criterion groups: economic, environmental, technological, and operational. The criteria were determined through an extensive literature review and expert opinions from different sectors. In the analysis phase, two Multi-Criteria Decision-Making (MCDM) methods fuzzy TOPSIS and interval type-2 fuzzy TOPSIS were employed. The findings indicate that both methods identified the same supplier as the most suitable alternative. However, the interval type-2 fuzzy TOPSIS method provided a clearer differentiation among the alternatives, offering decision-makers a more reliable ranking under uncertainty. This demonstrates that type-2 fuzzy sets are more effective in environments characterized by high levels of uncertainty. As one of the few studies to apply both methods together, this research contributes to literature with a novel and comprehensive approach. Furthermore, the proposed model has the potential to guide decision-makers strategically, with applicability across diverse sectors and contexts.
Sustainable supplier selection intelligent supply chain management fuzzy TOPSIS interval type-2 fuzzy TOPSIS
Increasing global competition and sustainability pressures have shifted supply chain management beyond a cost- and quality-oriented perspective. Today, firms are required to develop more holistic decision-making processes by incorporating environmental, social, and technological parameters. This study proposes an innovative supplier evaluation model that integrates sustainability principles with digital transformation dynamics. The model is structured around four main criterion groups: economic, environmental, technological, and operational. The criteria were determined through an extensive literature review and expert opinions from different sectors. In the analysis phase, two Multi-Criteria Decision-Making (MCDM) methods fuzzy TOPSIS and interval type-2 fuzzy TOPSIS were employed. The findings indicate that both methods identified the same supplier as the most suitable alternative. However, the interval type-2 fuzzy TOPSIS method provided a clearer differentiation among the alternatives, offering decision-makers a more reliable ranking under uncertainty. This demonstrates that type-2 fuzzy sets are more effective in environments characterized by high levels of uncertainty. As one of the few studies to apply both methods together, this research contributes to literature with a novel and comprehensive approach. Furthermore, the proposed model has the potential to guide decision-makers strategically, with applicability across diverse sectors and contexts.
Sürdürülebilir tedarikçi seçimi akıllı tedarik zinciri yönetimi bulanık TOPSIS aralık tip-2 bulanık TOPSIS
| Primary Language | Turkish |
|---|---|
| Subjects | Multiple Criteria Decision Making |
| Journal Section | Research Article |
| Authors | |
| Submission Date | October 4, 2025 |
| Acceptance Date | November 24, 2025 |
| Publication Date | December 31, 2025 |
| Published in Issue | Year 2025 Issue: 12 |