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Go with the Flow: Improving Red Cross Bloodmobiles Using Simulation Analysis

Author

Listed:
  • John E. Brennan

    (American Red Cross, Biomedical Research and Development, The Jerome H. Holland Laboratory, 15601 Crabbs Branch Way, Rockville, Maryland 20855)

  • Bruce L. Golden

    (College of Business and Management, University of Maryland, College Park, Maryland 20742)

  • Harold K. Rappoport

    (DISTINCT Management Consultants, 10705 Charter Drive, Suite 440, Columbia, Maryland 21044)

Abstract

We developed a computer simulation model to study customer service and productivity issues for Red Cross bloodmobiles. The Red Cross was concerned that excessive waiting lines and the time required to donate blood were affecting donors' willingness to make subsequent blood donations. We developed and tested several strategies for alleviating this problem including modifying set-up, staff allocation, and work rules. Initial implementation experience has resulted in significant decreases in the donor processing time and positive comments from donors citing improved speed and simplicity.

Suggested Citation

  • John E. Brennan & Bruce L. Golden & Harold K. Rappoport, 1992. "Go with the Flow: Improving Red Cross Bloodmobiles Using Simulation Analysis," Interfaces, INFORMS, vol. 22(5), pages 1-13, October.
    • Handle: RePEc:inm:orinte:v:22:y:1992:i:5:p:1-13
    DOI: 10.1287/inte.22.5.1
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    Citations

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    Cited by:

    1. Andres F. Osorio & Sally C. Brailsford & Honora K. Smith & Sonia P. Forero-Matiz & Bernardo A. Camacho-Rodríguez, 2017. "Simulation-optimization model for production planning in the blood supply chain," Health Care Management Science, Springer, vol. 20(4), pages 548-564, December.
    2. Côté, Murray J. & Stein, William E., 2000. "An Erlang-based stochastic model for patient flow," Omega, Elsevier, vol. 28(3), pages 347-359, June.
    3. Şahinyazan, Feyza Güliz & Kara, Bahar Y. & Taner, Mehmet Rüştü, 2015. "Selective vehicle routing for a mobile blood donation system," European Journal of Operational Research, Elsevier, vol. 245(1), pages 22-34.
    4. 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).
    5. Edgar Alfonso & Xiaolan Xie & Vincent Augusto & Olivier Garraud, 2012. "Modeling and simulation of blood collection systems," Health Care Management Science, Springer, vol. 15(1), pages 63-78, March.
    6. Cote, Murray J., 1999. "Patient flow and resource utilization in an outpatient clinic," Socio-Economic Planning Sciences, Elsevier, vol. 33(3), pages 231-245, September.

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