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Capacity Planning for Networks of Stem‐Cell Donation Centers under Uncertainty

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  • Elvan Gökalp
  • Nalan Gülpınar
  • Xuan Vinh Doan

Abstract

Stem‐cell transplantation is the last chance for patients of various blood‐related diseases. Stem‐cell donation centers admit patients in need of a stem‐cell transplant and search for a perfect match between the patients and donors. The search process is time‐consuming and requires expensive advanced equipments, in particular for DNA typing. In this study, we are concerned with a capacity planning problem in a network of stem‐cell donation centers. The underlying optimization model integrates the operations for a donor search and aims to maximize the number of transplantations. A scenario‐based stochastic programming approach is introduced to investigate the effect of the demand and service time variabilities into the capacity planning problem. We consider the maximum possible waiting time during the search process to obtain robust solutions against uncertainties. For this purpose, we approximate the maximum waiting time in the advanced blood testing with a robust queuing approach. The computational experiments are designed to illustrate the performance of the capacity planning model.

Suggested Citation

  • Elvan Gökalp & Nalan Gülpınar & Xuan Vinh Doan, 2020. "Capacity Planning for Networks of Stem‐Cell Donation Centers under Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 281-297, February.
    • Handle: RePEc:bla:popmgt:v:29:y:2020:i:2:p:281-297
    DOI: 10.1111/poms.13090
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    References listed on IDEAS

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    1. S. Creemers & M. Lambrecht, 2009. "An advanced queueing model to analyze appointment-driven service systems," Post-Print hal-00800200, HAL.
    2. Md Asaduzzaman & Thierry Chaussalet & Nicola Robertson, 2010. "A loss network model with overflow for capacity planning of a neonatal unit," Annals of Operations Research, Springer, vol. 178(1), pages 67-76, July.
    3. Steffen Flessa, 2000. "Where efficiency saves lives: A linear programme for the optimal allocation of health care resources in developing countries," Health Care Management Science, Springer, vol. 3(3), pages 249-267, June.
    4. Pablo Santibáñez & Georgia Bekiou & Kenneth Yip, 2009. "Fraser Health Uses Mathematical Programming to Plan Its Inpatient Hospital Network," Interfaces, INFORMS, vol. 39(3), pages 196-208, June.
    5. Govind, Rahul & Chatterjee, Rabikar & Mittal, Vikas, 2008. "Timely access to health care: Customer-focused resource allocation in a hospital network," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 294-300.
    6. E D Güneş & H Yaman, 2010. "Health network mergers and hospital re-planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 275-283, February.
    7. De Angelis, Vanda & Felici, Giovanni & Impelluso, Paolo, 2003. "Integrating simulation and optimisation in health care centre management," European Journal of Operational Research, Elsevier, vol. 150(1), pages 101-114, October.
    8. Mahar, Stephen & Bretthauer, Kurt M. & Salzarulo, Peter A., 2011. "Locating specialized service capacity in a multi-hospital network," European Journal of Operational Research, Elsevier, vol. 212(3), pages 596-605, August.
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