Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study
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DOI: 10.1007/s10479-018-3050-5
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- Afshin Kamyabniya & Antoine Sauré & F. Sibel Salman & Noureddine Bénichou & Jonathan Patrick, 2024. "Optimization models for disaster response operations: a literature review," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 737-783, September.
- Gilani Larimi, Niloofar & Azhdari, Abolghasem & Ghousi, Rouzbeh & Du, Bo, 2022. "Integrating GIS in reorganizing blood supply network in a robust-stochastic approach by combating disruption damages," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
- Asadpour, Milad & Olsen, Tava Lennon & Boyer, Omid, 2022. "An updated review on blood supply chain quantitative models: A disaster perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
- Raúl Antonio Díaz Pacheco & Ernest Benedito, 2024. "Analysis of Supply Chain Response Frameworks: A Literature Review," Logistics, MDPI, vol. 8(3), pages 1-19, June.
- Kangye Tan & Weihua Liu & Fang Xu & Chunsheng Li, 2023. "Optimization Model and Algorithm of Logistics Vehicle Routing Problem under Major Emergency," Mathematics, MDPI, vol. 11(5), pages 1-18, March.
- Javid Ghahremani-Nahr & Ramez Kian & Ehsan Sabet & Vahid Akbari, 2022. "A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach," Operational Research, Springer, vol. 22(5), pages 4685-4723, November.
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Keywords
Blood supply chain; Case study; Risk; Disasters; Group multi-criteria decision making; Robust stochastic programming;All these keywords.
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