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Article Type

Research Article

Abstract

Disaster-prone regions and affected areas encounter persistent challenges in maintaining supply chain continuity due to environmental uncertainties and infrastructure disruptions. Effective supply chain disaster management (SCDM) is essential for relief disaster disruptions, specifically in upstream processes and functions within the humanitarian supply chain. The integration of advanced technologies like the metaverse and Multiple-Criteria Decision-Making (MCDM) methods supports strategic planning and enhances resilience. This study presents a multi-criteria decision-making (MCDM) proposed approach for disaster relief evaluation in supply chain management. The proposed model integrates Interval-Valued Neutrosophic Numbers (IVNNs) to manage uncertainty and ambiguity inherent in disaster various criteria which are often influenced by unpredictable environmental factors and logistical challenges. The use of the Weighted Aggregated Sum Product Assessment (WASPAS) method, which combines additive and multiplicative methods, to evaluate and rank alternatives across conflicting criteria. By incorporating truth, indeterminacy, and falsity dimensions, the proposed approach provides a more comprehensive representation of real-world conditions than traditional fuzzy approaches. The results are conducted with numerical descriptions to show the applicability and availability of the proposed study. Finally, sensitivity analysis validates the model's stability, demonstrating its applicability in uncertain and complex decision-making contexts.

Keywords

Supply chain management, Disaster relief supplies, Disaster relief evaluation, humanitarian supply chain, Uncertainty, Interval valued neutrosophic numbers (IVNNs), Weighted aggregated sum product assessment (WASPAS)

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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