IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v183y2024ics1366554524000280.html
   My bibliography  Save this article

Multi-echelon facility location models for the reorganization of the Blood Supply Chain at regional scale

Author

Listed:
  • Diglio, Antonio
  • Mancuso, Andrea
  • Masone, Adriano
  • Sterle, Claudio

Abstract

Blood and blood products are crucial resources requiring effective management strategies and policies due to the potential severe consequences that could arise from their lack. Over the past two decades, the global healthcare community has recognized the significance of managing the Blood Supply Chain (BSC) efficiently and effectively. This includes policy-making, system design and organization. In this context, the Italian Healthcare Ministry issued a decree aimed at improving the BSC efficiency at regional level while reducing costs by providing several indications and restrictions to be accounted for. To address the need for improved BSC system management and design, we propose a mathematical modeling framework that builds upon and extends multi-echelon facility location and scenario-based mathematical models coming from literature, integrating soft constraints to achieve system aims with a multi-objective viewpoint. The proposed modeling framework has been implemented in two different perspectives: case-based and scenario-based. These two perspectives approaches are conceived to provide a comprehensive solution to the issue at hand, performing sensitivity analysis, and enabling the design of an efficient and effective BSC at the regional level, capable of handling inherent system uncertainty. To this aim, the proposed modeling framework comprises several objectives, including minimizing transportation costs, rationalizing the number and type of facilities, ensuring self-sufficiency, guaranteeing an average accessibility threshold, satisfying imposed restrictions and system constraints, and designing a system robust to varying exogenous and endogenous conditions. Real-world data sets were utilized to test and validate the proposed formulations. The obtained results demonstrate that they can be a valuable decision support tool for decision-makers, providing managerial insights and enabling the simulation of different system configurations.

Suggested Citation

  • Diglio, Antonio & Mancuso, Andrea & Masone, Adriano & Sterle, Claudio, 2024. "Multi-echelon facility location models for the reorganization of the Blood Supply Chain at regional scale," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    • Handle: RePEc:eee:transe:v:183:y:2024:i:c:s1366554524000280
    DOI: 10.1016/j.tre.2024.103438
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554524000280
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2024.103438?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Andres F. Osorio & Sally C. Brailsford & Honora K. Smith, 2015. "A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making," International Journal of Production Research, Taylor & Francis Journals, vol. 53(24), pages 7191-7212, December.
    4. Ramezanian, Reza & Behboodi, Zahra, 2017. "Blood supply chain network design under uncertainties in supply and demand considering social aspects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 69-82.
    5. Tirkolaee, Erfan Babaee & Golpîra, Hêriş & Javanmardan, Ahvan & Maihami, Reza, 2023. "A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    6. 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.
    7. Liu, Wenqian & Ke, Ginger Y. & Chen, Jian & Zhang, Lianmin, 2020. "Scheduling the distribution of blood products: A vendor-managed inventory routing approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    8. Osorio, Andres F. & Brailsford, Sally C. & Smith, Honora K., 2018. "Whole blood or apheresis donations? A multi-objective stochastic optimization approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 193-204.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meneses, Maria & Santos, Daniel & Barbosa-Póvoa, Ana, 2023. "Modelling the Blood Supply Chain," European Journal of Operational Research, Elsevier, vol. 307(2), pages 499-518.
    2. Kamyabniya, Afshin & Noormohammadzadeh, Zohre & Sauré, Antoine & Patrick, Jonathan, 2021. "A robust integrated logistics model for age-based multi-group platelets in disaster relief operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    3. Semih Yalçındağ & Seda Baş Güre & Giuliana Carello & Ettore Lanzarone, 2020. "A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivals," Health Care Management Science, Springer, vol. 23(4), pages 535-555, December.
    4. Gilani Larimi, Niloofar & Yaghoubi, Saeed & Hosseini-Motlagh, Seyyed-Mahdi, 2019. "Itemized platelet supply chain with lateral transshipment under uncertainty evaluating inappropriate output in laboratories," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    5. Samani, Mohammad Reza Ghatreh & Hosseini-Motlagh, Seyyed-Mahdi & Homaei, Shamim, 2020. "A reactive phase against disruptions for designing a proactive platelet supply network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    6. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Homaei, Shamim, 2020. "Toward a coordination of inventory and distribution schedules for blood in disasters," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    7. Sara Cheraghi & Seyyed-Mahdi Hosseini-Motlagh, 2020. "Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study," Annals of Operations Research, Springer, vol. 291(1), pages 129-167, August.
    8. Mohammad Reza Ghatreh Samani & Seyyed-Mahdi Hosseini-Motlagh, 2019. "An enhanced procedure for managing blood supply chain under disruptions and uncertainties," Annals of Operations Research, Springer, vol. 283(1), pages 1413-1462, December.
    9. Diabat, Ali & Jabbarzadeh, Armin & Khosrojerdi, Amir, 2019. "A perishable product supply chain network design problem with reliability and disruption considerations," International Journal of Production Economics, Elsevier, vol. 212(C), pages 125-138.
    10. Donya Rahmani, 2019. "Designing a robust and dynamic network for the emergency blood supply chain with the risk of disruptions," Annals of Operations Research, Springer, vol. 283(1), pages 613-641, December.
    11. Seyyed-Mahdi Hosseini-Motlagh & Niloofar Gilani Larimi & Maryam Oveysi Nejad, 2022. "A qualitative, patient-centered perspective toward plasma products supply chain network design with risk controlling," Operational Research, Springer, vol. 22(1), pages 779-824, March.
    12. Esmaeili, Somayeh & Bashiri, Mahdi & Amiri, Amirhossein, 2023. "An exact criterion space search algorithm for a bi-objective blood collection problem," European Journal of Operational Research, Elsevier, vol. 311(1), pages 210-232.
    13. 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).
    14. Hamdan, Bayan & Diabat, Ali, 2020. "Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    15. Javid Ghahremani-Nahr & Ramez Kian & Ehsan Sabet & Vahid Akbari, 2022. "A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach," Operational Research, Springer, vol. 22(5), pages 4685-4723, November.
    16. Bhuvnesh Sharma & M. Ramkumar & Nachiappan Subramanian & Bharat Malhotra, 2019. "Dynamic temporary blood facility location-allocation during and post-disaster periods," Annals of Operations Research, Springer, vol. 283(1), pages 705-736, December.
    17. Kenan, Nabil & Diabat, Ali, 2022. "The supply chain of blood products in the wake of the COVID-19 pandemic: Appointment scheduling and other restrictions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    18. Kees, M. Celeste & Bandoni, J. Alberto & Moreno, M. Susana, 2022. "A multi-period fuzzy optimization strategy for managing a centralized blood supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    19. Andreea Avramescu & Richard Allmendinger & Manuel L'opez-Ib'a~nez, 2021. "Managing Manufacturing and Delivery of Personalised Medicine: Current and Future Models," Papers 2105.12699, arXiv.org.
    20. Mohammad Reza Ghatreh Samani & Seyyed-Mahdi Hosseini-Motlagh, 2021. "A robust framework for designing blood network in disaster relief: a real-life case," Operational Research, Springer, vol. 21(3), pages 1529-1568, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:183:y:2024:i:c:s1366554524000280. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.