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Integrated treatment scheduling and logistics planning for a hemodialysis center after a disaster with robust travel times

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  • Ozmemis, Cagri
  • Balcik, Burcu
  • Yanıkoğlu, İhsan
  • Akca, Berna

Abstract

Hemodialysis centers use session-based scheduling to provide regular treatments for chronic hemodialysis patients. Optimizing the use of hemodialysis machines is crucial to managing daily patient loads, which requires the timely initiation of parallel sessions. Many centers offer transportation (shuttle) services to ensure punctual patient arrivals. However, post-disaster scenarios pose significant challenges, including road network disruptions, heightened demand for hemodialysis services, and reduced service capacity. The provision of shortened hemodialysis treatments in disaster conditions further complicates planning. This study addresses patient transportation and treatment scheduling in a hemodialysis center following a disaster, accounting for travel time uncertainties due to road disruptions. For a cohort of chronic hemodialysis patients requiring periodic treatment over a defined relief planning horizon (e.g., two weeks) and with constrained session capacity, the center must determine which patients to serve each day and each session with what type of treatments (regular or short) and construct shuttle routes. We introduce an integer programming model to address this integrated treatment scheduling and routing problem. We incorporate uncertainties in travel times in a post-disaster setting by a data driven robust optimization approach. Additionally, we develop an efficient decomposition-based constructive heuristic and matheuristic to solve the resulting problem. We illustrate our approach on a case study based on an earthquake scenario in Istanbul, utilizing data from the Istanbul Metropolitan Municipality to map road closures.

Suggested Citation

  • Ozmemis, Cagri & Balcik, Burcu & Yanıkoğlu, İhsan & Akca, Berna, 2025. "Integrated treatment scheduling and logistics planning for a hemodialysis center after a disaster with robust travel times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
  • Handle: RePEc:eee:transe:v:198:y:2025:i:c:s1366554525001516
    DOI: 10.1016/j.tre.2025.104110
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    1. Tsang, Man Yiu & Shehadeh, Karmel S., 2023. "Stochastic optimization models for a home service routing and appointment scheduling problem with random travel and service times," European Journal of Operational Research, Elsevier, vol. 307(1), pages 48-63.
    2. Maya Duque, P.A. & Castro, M. & Sörensen, K. & Goos, P., 2015. "Home care service planning. The case of Landelijke Thuiszorg," European Journal of Operational Research, Elsevier, vol. 243(1), pages 292-301.
    3. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    4. Yinglei Li & Sung Hoon Chung, 2019. "Disaster relief routing under uncertainty: A robust optimization approach," IISE Transactions, Taylor & Francis Journals, vol. 51(8), pages 869-886, August.
    5. Balcik, Burcu & Yanıkoğlu, İhsan, 2020. "A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty," European Journal of Operational Research, Elsevier, vol. 282(1), pages 40-57.
    6. Gulczynski, Damon & Golden, Bruce & Wasil, Edward, 2011. "The period vehicle routing problem: New heuristics and real-world variants," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 648-668, September.
    7. Berghman, Lotte & Kergosien, Yannick & Billaut, Jean-Charles, 2023. "A review on integrated scheduling and outbound vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 311(1), pages 1-23.
    8. Pedro Munari & Alfredo Moreno & Jonathan De La Vega & Douglas Alem & Jacek Gondzio & Reinaldo Morabito, 2019. "The Robust Vehicle Routing Problem with Time Windows: Compact Formulation and Branch-Price-and-Cut Method," Transportation Science, INFORMS, vol. 53(4), pages 1043-1066, July.
    9. Luca Grieco & Martin Utley & Sonya Crowe, 2021. "Operational research applied to decisions in home health care: A systematic literature review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(9), pages 1960-1991, September.
    10. Verena Schmid & Karl F. Doerner, 2014. "Examination and Operating Room Scheduling Including Optimization of Intrahospital Routing," Transportation Science, INFORMS, vol. 48(1), pages 59-77, February.
    11. C Lee & K Lee & S Park, 2012. "Robust vehicle routing problem with deadlines and travel time/demand uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(9), pages 1294-1306, September.
    12. Yin, Yunqiang & Yang, Yongjian & Yu, Yugang & Wang, Dujuan & Cheng, T.C.E., 2023. "Robust vehicle routing with drones under uncertain demands and truck travel times in humanitarian logistics," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    13. Shi, Yong & Boudouh, Toufik & Grunder, Olivier, 2019. "A robust optimization for a home health care routing and scheduling problem with consideration of uncertain travel and service times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 52-95.
    14. Mohammad Reihaneh & Sina Ansari & Farbod Farhadi, 2023. "Patient appointment scheduling at hemodialysis centers: An exact branch and price approach," Post-Print hal-04286207, HAL.
    15. Peter Francis & Karen Smilowitz & Michal Tzur, 2006. "The Period Vehicle Routing Problem with Service Choice," Transportation Science, INFORMS, vol. 40(4), pages 439-454, November.
    16. Yang, Yu & Yan, Chiwei & Cao, Yufeng & Roberti, Roberto, 2023. "Planning robust drone-truck delivery routes under road traffic uncertainty," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1145-1160.
    17. Jinil Han & Chungmok Lee & Sungsoo Park, 2014. "A Robust Scenario Approach for the Vehicle Routing Problem with Uncertain Travel Times," Transportation Science, INFORMS, vol. 48(3), pages 373-390, August.
    18. Reihaneh, Mohammad & Ansari, Sina & Farhadi, Farbod, 2023. "Patient appointment scheduling at hemodialysis centers: An exact branch and price approach," European Journal of Operational Research, Elsevier, vol. 309(1), pages 35-52.
    19. J. Arturo Castillo-Salazar & Dario Landa-Silva & Rong Qu, 2016. "Workforce scheduling and routing problems: literature survey and computational study," Annals of Operations Research, Springer, vol. 239(1), pages 39-67, April.
    20. Gorissen, Bram L. & Yanıkoğlu, İhsan & den Hertog, Dick, 2015. "A practical guide to robust optimization," Omega, Elsevier, vol. 53(C), pages 124-137.
    21. Sepehr Nemati & Oleg V. Shylo & Oleg A. Prokopyev & Andrew J. Schaefer, 2016. "The Surgical Patient Routing Problem: A Central Planner Approach," INFORMS Journal on Computing, INFORMS, vol. 28(4), pages 657-673, November.
    22. Zhenyuan Liu & Jiongbing Lu & Zaisheng Liu & Guangrui Liao & Hao Howard Zhang & Junwu Dong, 2019. "Patient scheduling in hemodialysis service," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 337-362, January.
    23. Siyun Yu & Vidyadhar G. Kulkarni & Vinayak Deshpande, 2020. "Appointment Scheduling for a Health Care Facility with Series Patients," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 388-409, February.
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