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An Analysis of Alternative Locations and Service Areas of American Red Cross Blood Facilities

Author

Listed:
  • Derya A. Jacobs

    (Department of Engineering Management, Old Dominion University, Norfolk, Virginia 23529)

  • Murat N. Silan

    (Department of Engineering Management, Old Dominion University, Norfolk, Virginia 23529)

  • Barry A. Clemson

    (Department of Engineering Management, Old Dominion University, Norfolk, Virginia 23529)

Abstract

We investigated a facility relocation problem for the mid-Atlantic region of the American Red Cross (ARC) in Norfolk, Virginia. The ARC was concerned with the feasibility and effect of a proposed facility relocation on its blood collection and distribution. We developed optimization models to provide insights into its current scheduling of blood collections and distributions as well as the changes imposed by this proposed relocation. As a result of our analysis and recommendations, ARC decided to postpone its facility relocation and to optimize the operations of its existing facilities.

Suggested Citation

  • Derya A. Jacobs & Murat N. Silan & Barry A. Clemson, 1996. "An Analysis of Alternative Locations and Service Areas of American Red Cross Blood Facilities," Interfaces, INFORMS, vol. 26(3), pages 40-50, June.
    • Handle: RePEc:inm:orinte:v:26:y:1996:i:3:p:40-50
    DOI: 10.1287/inte.26.3.40
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    Citations

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    Cited by:

    1. Gunpinar, Serkan & Centeno, Grisselle, 2016. "An integer programming approach to the bloodmobile routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 86(C), pages 94-115.
    2. Turgay Ayer & Can Zhang & Chenxi Zeng & Chelsea C. White III & V. Roshan Joseph, 2019. "Analysis and Improvement of Blood Collection Operations," Service Science, INFORMS, vol. 21(1), pages 29-46, January.
    3. Anna Nagurney & Amir Masoumi & Min Yu, 2012. "Supply chain network operations management of a blood banking system with cost and risk minimization," Computational Management Science, Springer, vol. 9(2), pages 205-231, May.
    4. 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.
    5. Ramezanian, Reza & Behboodi, Zahra, 2017. "Blood supply chain network design under uncertainties in supply and demand considering social aspects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 69-82.
    6. 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).
    7. Benneyan, James C. & Musdal, Hande & Ceyhan, Mehmet Erkan & Shiner, Brian & Watts, Bradley V., 2012. "Specialty care single and multi-period location–allocation models within the Veterans Health Administration," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 136-148.
    8. Masoumi, Amir H. & Yu, Min & Nagurney, Anna, 2017. "Mergers and acquisitions in blood banking systems: A supply chain network approach," International Journal of Production Economics, Elsevier, vol. 193(C), pages 406-421.
    9. Zarrinpoor, Naeme & Fallahnezhad, Mohammad Saber & Pishvaee, Mir Saman, 2018. "The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1013-1032.

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