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Organ transplantation logistics: a case for Turkey

Author

Listed:
  • Sinem Savaşer

    (University of Toronto)

  • Ömer Burak Kınay

    (University of Waterloo)

  • Bahar Yetis Kara

    (Bilkent University)

  • Pelin Cay

    (Lehigh University)

Abstract

Logistics is one of the key elements of organ transplantation operations. In this study, maximizing the potential compatible donor–recipient matches within the cold ischemia time bounds (duration that an organ can survive without blood supply) is the main problem that is addressed. While addressing this problem, the effects of clustering structures on the potential organ matches are investigated. We analyze Turkey’s organ transplantation logistics structure based on its dynamics and provide new mathematical models for maximizing potential-weighted intra-regional organ transplantation flow via evaluating different types of transportation modes while meeting the specified time bounds. This approach considers only maximizing the potential flow within a single time bound, so that it may not perform effectively for every organ type. To remedy this situation, another mathematical model that maximizes the potential flow of multiple organ types has also been developed. Additionally, in order to evaluate the performance of our results, using the outputs of the deterministic mathematical models, we developed a simulation model to mimic the uncertain environment realistically while being able to model the components of hierarchical systems. Extensive computational analysis using a variety of performance measures has revealed that Turkey’s organ transplantation network can be improved by re-clustering.

Suggested Citation

  • Sinem Savaşer & Ömer Burak Kınay & Bahar Yetis Kara & Pelin Cay, 2019. "Organ transplantation logistics: a case for Turkey," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(2), pages 327-356, June.
    • Handle: RePEc:spr:orspec:v:41:y:2019:i:2:d:10.1007_s00291-018-0538-y
    DOI: 10.1007/s00291-018-0538-y
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    References listed on IDEAS

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    1. Deffains, Bruno & Mercier Ythier, Jean, 2010. "Optimal production of transplant care services," Journal of Public Economics, Elsevier, vol. 94(9-10), pages 638-653, October.
    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. Steven M. Shechter & Cindy L. Bryce & Oguzhan Alagoz & Jennifer E. Kreke & James E. Stahl & Andrew J. Schaefer & Derek C. Angus & Mark S. Roberts, 2005. "A Clinically Based Discrete-Event Simulation of End-Stage Liver Disease and the Organ Allocation Process," Medical Decision Making, , vol. 25(2), pages 199-209, March.
    4. Nan Kong & Andrew J. Schaefer & Brady Hunsaker & Mark S. Roberts, 2010. "Maximizing the Efficiency of the U.S. Liver Allocation System Through Region Design," Management Science, INFORMS, vol. 56(12), pages 2111-2122, December.
    5. Jabbarzadeh, Armin & Fahimnia, Behnam & Seuring, Stefan, 2014. "Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 225-244.
    6. Oguzhan Alagoz & Andrew J. Schaefer & Mark S. Roberts, 2009. "Optimizing Organ Allocation and Acceptance," Springer Optimization and Its Applications, in: H. Edwin Romeijn & Panos M. Pardalos (ed.), Handbook of Optimization in Medicine, chapter 1, pages 1-24, Springer.
    7. Takeshi Shirabe, 2009. "Districting Modeling with Exact Contiguity Constraints," Environment and Planning B, , vol. 36(6), pages 1053-1066, December.
    8. Maria Bruni & Domenico Conforti & Nicola Sicilia & Sandro Trotta, 2006. "A new organ transplantation location–allocation policy: a case study of Italy," Health Care Management Science, Springer, vol. 9(2), pages 125-142, May.
    9. Xuanming Su & Stefanos A. Zenios, 2005. "Patient Choice in Kidney Allocation: A Sequential Stochastic Assignment Model," Operations Research, INFORMS, vol. 53(3), pages 443-455, June.
    10. Anna Nagurney & Amir H. Masoumi, 2012. "Supply Chain Network Design of a Sustainable Blood Banking System," International Series in Operations Research & Management Science, in: Tonya Boone & Vaidyanathan Jayaraman & Ram Ganeshan (ed.), Sustainable Supply Chains, edition 127, chapter 0, pages 49-72, Springer.
    11. Dimitris Bertsimas & Vivek F. Farias & Nikolaos Trichakis, 2013. "Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation," Operations Research, INFORMS, vol. 61(1), pages 73-87, February.
    12. Misiunas, Nicholas & Oztekin, Asil & Chen, Yao & Chandra, Kavitha, 2016. "DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status," Omega, Elsevier, vol. 58(C), pages 46-54.
    13. Syam, Siddhartha S. & Côté, Murray J., 2010. "A location-allocation model for service providers with application to not-for-profit health care organizations," Omega, Elsevier, vol. 38(3-4), pages 157-166, June.
    14. H K Smith & P R Harper & C N Potts, 2013. "Bicriteria efficiency/equity hierarchical location models for public service application," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(4), pages 500-512, April.
    15. Sommer Gentry & Eric Chow & Allan Massie & Dorry Segev, 2015. "Gerrymandering for Justice: Redistricting U.S. Liver Allocation," Interfaces, INFORMS, vol. 45(5), pages 462-480, October.
    16. Mehmet C. Demirci & Andrew J. Schaefer & H. Edwin Romeijn & Mark S. Roberts, 2012. "An Exact Method for Balancing Efficiency and Equity in the Liver Allocation Hierarchy," INFORMS Journal on Computing, INFORMS, vol. 24(2), pages 260-275, May.
    17. James E. Stahl & Nan Kong & Steven M. Shechter & Andrew J. Schaefer & Mark S. Roberts, 2005. "A Methodological Framework for Optimally Reorganizing Liver Transplant Regions," Medical Decision Making, , vol. 25(1), pages 35-46, January.
    18. Liberatore, Matthew J. & Nydick, Robert L., 2008. "The analytic hierarchy process in medical and health care decision making: A literature review," European Journal of Operational Research, Elsevier, vol. 189(1), pages 194-207, August.
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    Cited by:

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    2. Kargar, Bahareh & Pishvaee, Mir Saman & Jahani, Hamed & Sheu, Jiuh-Biing, 2020. "Organ transportation and allocation problem under medical uncertainty: A real case study of liver transplantation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).

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