A lateral resupply blood supply chain network design under uncertainties

DOI10.1016/j.apm.2020.12.010zbMath1481.90043OpenAlexW3116418724MaRDI QIDQ823406

Mohammad Arani, Mohsen Momenitabar, Yupo Chan, Xian Liu

Publication date: 24 September 2021

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2020.12.010

zbMATH Keywords

multi-objective mixed integer programmingrevised multi-choice goal programmingABO and Rh factorsapheresis methodblood supply chain network design

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11) Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06)

Related Items (5)

Supply chain network design with financial considerations: a comprehensive review ⋮ Modelling the blood supply chain ⋮ Robust possibilistic programming to design a closed-loop blood supply chain network considering service-level maximization and lateral resupply ⋮ A bi-objective integrated mathematical model for blood supply chain: case of Turkish red crescent ⋮ A possibilistic-robust-fuzzy programming model for designing a game theory based blood supply chain network

Cites Work

• Revised multi-choice goal programming
• Managing platelet supply through improved routing of blood collection vehicles
• Designing a bi-objective multi-echelon robust blood supply chain in a disaster
• Survey on blood supply chain management: models and methods

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