Blood supply chains (BSCs) face challenges in managing the production and inventory of blood components. We developed a simulation-optimisation approach to address inventory of blood products in blood supply chains. This approach can determine inventory size and replenishment points for blood products that balances supply and demand, while maintaining acceptable levels of wastage and shortage. A simulation methodology is used to represent the complexities in the inventory management of blood components. An optimisation module, coupled with the simulation, is used to address constraints related to waste, shortages, and inventory levels. The approach was verified and validated using a case study conducted in a blood bank in Brazil managing a supply of Red Blood Cells (RBCs). The approach proved to be suitable for the case analyzed and results suggest that 120 units is adequate to meet the demand for RBCs, while maintaining acceptable levels of shortages and wastages.
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Univ Politecn Valencia, Res Ctr Prod Management & Engn CIGIP, Cami de Vera S-N, Valencia 46022, SpainUniv Politecn Valencia, Res Ctr Prod Management & Engn CIGIP, Cami de Vera S-N, Valencia 46022, Spain
Buschiazzo, M.
Mula, J.
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Univ Politecn Valencia, Res Ctr Prod Management & Engn CIGIP, Plaza Ferrandiz & Carbonell 2, Alicante 03801, SpainUniv Politecn Valencia, Res Ctr Prod Management & Engn CIGIP, Cami de Vera S-N, Valencia 46022, Spain
Mula, J.
Campuzano-Bolarin, F.
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Univ Politecn Cartagena, Dept Business Econ, Cartagena, SpainUniv Politecn Valencia, Res Ctr Prod Management & Engn CIGIP, Cami de Vera S-N, Valencia 46022, Spain
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Hong Kong Univ Sci & Technol, Dept Ind Engn & Decis Analyt, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Decis Analyt, Hong Kong, Peoples R China
Liu, Wenqian
Ke, Ginger Y.
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Mem Univ Newfoundland, Fac Business Adm, St John, NF A1B 3X9, CanadaHong Kong Univ Sci & Technol, Dept Ind Engn & Decis Analyt, Hong Kong, Peoples R China
Ke, Ginger Y.
Chen, Jian
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Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Decis Analyt, Hong Kong, Peoples R China
Chen, Jian
Zhang, Lianmin
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Shenzhen Res Inst Big Data, Shenzhen 518000, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Ind Engn & Decis Analyt, Hong Kong, Peoples R China