Keywords
Oreste ranking method
Multi-criteria decision-making
Evaluation of resilience in suppliers
Submitted : 2025-06-15
Accepted : 2025-06-30
Published : 2025-07-15
Abstract
Objective: Existing research mainly relies on quantitative indicators. However, the subjectivity of qualitative indicators and the problem of their difficulty in quantification limit the comprehensiveness of evaluation. Therefore, a resilience supplier evaluation method based on the improved Z-number-ORESTE is proposed. Methods: Through the construction of a multi-tiered evaluation index system incorporating supplier capabilities, resources, strategic aspects, and resilience, Z-numbers are harnessed to signify qualitative indicators. An advanced Z-number distance metric is implemented, meticulously considering the impact exerted by the reliability portion of Z-numbers on information risk. The refined ORESTE ranking algorithm introduces the concepts of strong and weak orderings and capitalizes on the Borda assignment function. This approach facilitates a more precise appraisal of the performance of alternative solutions. By amalgamating the improved Z-number distance measurement approach with the ORESTE ranking methodology for multi-attribute decision-making, it becomes feasible to more efficiently assess the recovery capacities and adaptability of suppliers in the face of unforeseen incidents and risks. Results: Through the analysis of the comprehensive performance of the existing suppliers of a certain electronics enterprise, the results regarding the suppliers’ recovery capabilities and adaptability when facing unexpected events and risks are obtained. Eventually, the suppliers that are in line with the long-term development strategy of the enterprise are selected. Conclusion: This evaluation system has verified its feasibility and effectiveness. Moreover, the system is capable of effectively identifying and selecting resilient suppliers, providing more reliable decision-making support for the enterprise’s supply chain management.
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