We aim to implement a three-tiered healthcare supply chain model within the context of a portable blood hub during times of crisis to provide healthcare to the most vulnerable populations. Due to a lack of blood, the number of deaths related to this issue has significantly increased in recent years. A critical challenge for healthcare decision-makers is the efficient distribution of blood among different centers. This research proposes a new method to address this issue, simplifying future solutions to similar problems. As a result of our findings, we introduce a model that considers three tiers in healthcare blood supply: point one (blood collection centers), point two (blood hubs), and final destinations (hospitals and clinics) during disasters. For this study, we focused on six collection sites, five blood centers, and thirty-one medical facilities providing eight different blood types. Our model demonstrates that blood can be transported from collection sites to medical centers at a lower cost during crises. This approach requires considering the full three tiers of the healthcare supply chain rather than focusing solely on the supply chain level at blood hubs. Unlike previous studies, which focused only on individual levels of supply chain management, this study examined the entire value chain, from blood collection to delivery to the end recipient.

The selection of suppliers in the supply chain is a crucial concern of organizations in the modern competitive business world. Since the performance of suppliers has a great impact on the success or failure of the supply chain, the resilient selection of suppliers is considered a key and strategic task. Also, classification of suppliers creates long-term competitive advantage throughout the supply chain. In this paper, important indicators were identified to achieve a resiliency for suppliers' selection. In this case, 27 indicators were identified from the literature. Then, the most important indicators were selected by using fuzzy Delphi method. In this phase, the opinions of automotive and spare parts experts in both academic and industry were collected. then, by using the BWM method, the weight of the extracted indicators was determined. Finally, the suppliers in an Iranian automobile company were ranked by using the MABAC method. The final results show that the factors of observability ($ W = 0.13 $), redundancy ($ W = 0.15 $), and (agility $ W = 0.21 $) are the most critical criteria for resilient suppliers' selection.