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A simulation-based approach for improving the clinical blood sample supply chain

Author

Listed:
  • Amir Elalouf

    (Bar-Ilan University)

  • Dmitry Tsadikovich

    (Bar-Ilan University)

  • Sharon Hovav

    (Clalit Health Services)

Abstract

We consider a three-echelon blood sample supply chain comprising the following elements: (i) clinics, where blood samples are taken from patients, (ii) centrifugation centers, where collected blood samples are separated into their different components, and (iii) a centralized testing laboratory, where the samples are analyzed. We focus on the scheduling of vehicles that transport blood samples from clinics to centrifugation centers—a special case of the vehicle routing problem (VRP). Our study presents a novel simulation-based approach to the VRP, designed and implemented in MATLAB, and tailored to the unique constraints of the three-echelon blood sample collection chain. We apply this approach to data from a large Health Maintenance Organization to determine the optimal vehicle fleet size for blood sample transport, while ensuring that the quality of the healthcare service is not compromised. Results suggest that our simulation model can be generalized to serve as a useful and straightforward decision support tool for optimizing resource utilization and service quality in healthcare systems.

Suggested Citation

  • Amir Elalouf & Dmitry Tsadikovich & Sharon Hovav, 2021. "A simulation-based approach for improving the clinical blood sample supply chain," Health Care Management Science, Springer, vol. 24(1), pages 216-233, March.
    • Handle: RePEc:kap:hcarem:v:24:y:2021:i:1:d:10.1007_s10729-020-09534-0
    DOI: 10.1007/s10729-020-09534-0
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    References listed on IDEAS

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    1. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms," Transportation Science, INFORMS, vol. 39(1), pages 104-118, February.
    2. Olli Bräysy & Michel Gendreau, 2005. "Vehicle Routing Problem with Time Windows, Part II: Metaheuristics," Transportation Science, INFORMS, vol. 39(1), pages 119-139, February.
    3. K Katsaliaki & S C Brailsford, 2007. "Using simulation to improve the blood supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 219-227, February.
    4. Matthew Reynolds & Christos Vasilakis & Monsey McLeod & Nicholas Barber & Ann Mounsey & Sue Newton & Ann Jacklin & Bryony Franklin, 2011. "Using discrete event simulation to design a more efficient hospital pharmacy for outpatients," Health Care Management Science, Springer, vol. 14(3), pages 223-236, September.
    5. Duraikannan Sundaramoorthi & Victoria Chen & Jay Rosenberger & Seoung Kim & Deborah Buckley-Behan, 2010. "A data-integrated simulation-based optimization for assigning nurses to patient admissions," Health Care Management Science, Springer, vol. 13(3), pages 210-221, September.
    6. Bruno, Giuseppe & Diglio, Antonio & Piccolo, Carmela & Cannavacciuolo, Lorella, 2019. "Territorial reorganization of regional blood management systems: Evidences from an Italian case study," Omega, Elsevier, vol. 89(C), pages 54-70.
    7. Roberto Baldacci & Paolo Toth & Daniele Vigo, 2010. "Exact algorithms for routing problems under vehicle capacity constraints," Annals of Operations Research, Springer, vol. 175(1), pages 213-245, March.
    8. Laporte, Gilbert, 1992. "The vehicle routing problem: An overview of exact and approximate algorithms," European Journal of Operational Research, Elsevier, vol. 59(3), pages 345-358, June.
    9. Alinaghian, Mahdi & Shokouhi, Nadia, 2018. "Multi-depot multi-compartment vehicle routing problem, solved by a hybrid adaptive large neighborhood search," Omega, Elsevier, vol. 76(C), pages 85-99.
    10. E. El‐Darzi & C. Vasilakis & T. Chaussalet & P.H. Millard, 1998. "A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department," Health Care Management Science, Springer, vol. 1(2), pages 143-149, October.
    11. Jinxin Yi, 2003. "Vehicle Routing with Time Windows and Time-Dependent Rewards: A Problem from the American Red Cross," Manufacturing & Service Operations Management, INFORMS, vol. 5(1), pages 74-77.
    12. 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.
    13. C Vasilakis & A H Marshall, 2005. "Modelling nationwide hospital length of stay: opening the black box," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 862-869, July.
    14. J D Griffiths & N Price-Lloyd & M Smithies & J E Williams, 2005. "Modelling the requirement for supplementary nurses in an intensive care unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 126-133, February.
    15. M S Rauner & S C Brailsford & S Flessa, 2005. "Use of discrete-event simulation to evaluate strategies for the prevention of mother-to-child transmission of HIV in developing countries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(2), pages 222-233, February.
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