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A multi-period fuzzy optimization strategy for managing a centralized blood supply chain

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  • Kees, M. Celeste
  • Bandoni, J. Alberto
  • Moreno, M. Susana

Abstract

Blood supply chains (BSCs) are highly complex systems that present many challenges in their optimal management, such as different collection methods, demand and supply uncertainty, blood perishability, blood group distinction, and compatible substitutions. This article presents the study of the critical problem of sizing and managing a centralized version of such BSCs in a developing country. The problem is initially formulated as a multi-period mixed-integer linear programming (MILP) model simultaneously addressing strategic, tactical, and operational decisions over a given time horizon. The formers are related to selecting the technology for blood collection and processing, the tactical ones determine not only where and when donation campaigns are made but also the periodic delivery of surplus plasma for further fractionation, while the operational ones specify the amounts of blood collected, donor allocation to each collection method, and quantities of blood components produced, distributed, and kept in stock daily. The problem aims to minimize three conflictive objective functions: the shortage, the total costs, and the number of substitutions. To appropriately address the multiple goals, their imprecise target values, and the fuzziness in some parameters, the model is reformulated as a fuzzy mixed-integer goal programming (FMIGP) one, which is then solved using a crisp strategy to find a compromise solution. A real-life case study from the public sector of Bahía Blanca city in Argentina shows the advantages of the presented approach. Numerical results demonstrate the integrated model can significatively increase demand satisfaction while reducing costs, less favorable substitutions, and wastes.

Suggested Citation

  • Kees, M. Celeste & Bandoni, J. Alberto & Moreno, M. Susana, 2022. "A multi-period fuzzy optimization strategy for managing a centralized blood supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:soceps:v:84:y:2022:i:c:s0038012122001367
    DOI: 10.1016/j.seps.2022.101346
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    References listed on IDEAS

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    1. Alessia D'Andrea, 2017. "Blood Components as Joint Products: A Literature Review of Cost-Allocation Methods," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(7), pages 1-46, June.
    2. Behzad Zahiri & Mir Saman Pishvaee, 2017. "Blood supply chain network design considering blood group compatibility under uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2013-2033, April.
    3. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Cheraghi, Sara, 2020. "Robust and stable flexible blood supply chain network design under motivational initiatives," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    4. Pereira, Miguel Alves & Marques, Rui Cunha, 2022. "Is sunshine regulation the new prescription to brighten up public hospitals in Portugal?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Andres F. Osorio & Sally C. Brailsford & Honora K. Smith, 2015. "A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7191-7212, December.
    6. Osorio, Andres F. & Brailsford, Sally C. & Smith, Honora K., 2018. "Whole blood or apheresis donations? A multi-objective stochastic optimization approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 193-204.
    7. Dehghani, Maryam & Abbasi, Babak & Oliveira, Fabricio, 2021. "Proactive transshipment in the blood supply chain: A stochastic programming approach," Omega, Elsevier, vol. 98(C).
    8. Dillon, Mary & Oliveira, Fabricio & Abbasi, Babak, 2017. "A two-stage stochastic programming model for inventory management in the blood supply chain," International Journal of Production Economics, Elsevier, vol. 187(C), pages 27-41.
    9. Duan, Qinglin & Liao, T. Warren, 2014. "Optimization of blood supply chain with shortened shelf lives and ABO compatibility," International Journal of Production Economics, Elsevier, vol. 153(C), pages 113-129.
    10. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.
    11. Ensafian, Hamidreza & Yaghoubi, Saeed, 2017. "Robust optimization model for integrated procurement, production and distribution in platelet supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 32-55.
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