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Territorial reorganization of regional blood management systems: Evidences from an Italian case study

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  • Bruno, Giuseppe
  • Diglio, Antonio
  • Piccolo, Carmela
  • Cannavacciuolo, Lorella

Abstract

Blood is a vital resource in the health care context and then its efficient and effective collection, management and distribution is a fundamental task. As blood is drawn on voluntary basis, an appropriate organization of the collection systems on the territory is crucial; in particular, a widespread presence of collection facilities is important to attract potential donors and assure a given blood collection capacity, but it may have also a strong impact on the total management costs.

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  • 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.
    • Handle: RePEc:eee:jomega:v:89:y:2019:i:c:p:54-70
    DOI: 10.1016/j.omega.2018.09.006
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    1. ReVelle, Charles & Murray, Alan T. & Serra, Daniel, 2007. "Location models for ceding market share and shrinking services," Omega, Elsevier, vol. 35(5), pages 533-540, October.
    2. Fahimnia, Behnam & Jabbarzadeh, Armin & Ghavamifar, Ali & Bell, Michael, 2017. "Supply chain design for efficient and effective blood supply in disasters," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 700-709.
    3. 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.
    4. Bruno, Giuseppe & Esposito, Emilio & Genovese, Andrea & Piccolo, Carmela, 2016. "Institutions and facility mergers in the Italian education system: Models and case studies," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 23-32.
    5. Brian Custer & Eric S. Johnson & Sean D. Sullivan & Tom K. Hazlet & Scott D. Ramsey & Edward L. Murphy & Michael P. Busch, 2005. "Community Blood Supply Model: Development of a New Model to Assess the Safety, Sufficiency, and Cost of the Blood Supply," Medical Decision Making, , vol. 25(5), pages 571-582, September.
    6. Telser,Lester G., 1987. "A Theory of Efficient Cooperation and Competition," Cambridge Books, Cambridge University Press, number 9780521306195.
    7. 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.
    8. Anna Nagurney & Amir Masoumi & Min Yu, 2012. "Supply chain network operations management of a blood banking system with cost and risk minimization," Computational Management Science, Springer, vol. 9(2), pages 205-231, May.
    9. Gregory P. Prastacos, 1984. "Blood Inventory Management: An Overview of Theory and Practice," Management Science, INFORMS, vol. 30(7), pages 777-800, July.
    10. 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.
    11. Dursun Delen & Madhav Erraguntla & Richard Mayer & Chang-Nien Wu, 2011. "Better management of blood supply-chain with GIS-based analytics," Annals of Operations Research, Springer, vol. 185(1), pages 181-193, May.
    12. Van Boening, Mark V & Wilcox, Nathaniel T, 1996. "Avoidable Cost: Ride a Double Auction Roller Coaster," American Economic Review, American Economic Association, vol. 86(3), pages 461-477, June.
    13. Bruno, Giuseppe & Genovese, Andrea & Piccolo, Carmela, 2017. "Territorial amalgamation decisions in local government: Models and a case study from Italy," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 61-72.
    14. Evrim Didem Güneş & Stefan Nickel, 2015. "Location Problems in Healthcare," Springer Books, in: Gilbert Laporte & Stefan Nickel & Francisco Saldanha da Gama (ed.), Location Science, edition 127, chapter 0, pages 555-579, Springer.
    15. Sonmez, Ayse Durukan & Lim, Gino J., 2012. "A decomposition approach for facility location and relocation problem with uncertain number of future facilities," European Journal of Operational Research, Elsevier, vol. 218(2), pages 327-338.
    16. Hemmelmayr, Vera & Doerner, Karl F. & Hartl, Richard F. & Savelsbergh, Martin W.P., 2010. "Vendor managed inventory for environments with stochastic product usage," European Journal of Operational Research, Elsevier, vol. 202(3), pages 686-695, May.
    17. Beliën, Jeroen & Forcé, Hein, 2012. "Supply chain management of blood products: A literature review," European Journal of Operational Research, Elsevier, vol. 217(1), pages 1-16.
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    1. Zaharudin, Zati Aqmar & Brint, Andrew & Genovese, Andrea, 2022. "A multi-period model for reorganising urban household waste recycling networks," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Murray, Alan T., 2021. "Contemporary optimization application through geographic information systems," Omega, Elsevier, vol. 99(C).
    3. Diglio, Antonio & Peiró, Juanjo & Piccolo, Carmela & Saldanha-da-Gama, Francisco, 2021. "Solutions for districting problems with chance-constrained balancing requirements," Omega, Elsevier, vol. 103(C).
    4. 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.
    5. 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.
    6. Bruno, Giuseppe & Cavola, Manuel & Diglio, Antonio & Piccolo, Carmela, 2020. "Improving spatial accessibility to regional health systems through facility capacity management," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. 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.

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