Impacts of Reducing the Shelf Life of Red Blood Cells: A View from Down Under

Published Online:https://doi.org/10.1287/inte.2017.0899

References

  • Abbasi B, Hosseinifard SZ (2014) On the issuing policies for perishable items such as red blood cells and platelets in blood service. Decision Sci. 45(5):994–1020.CrossrefGoogle Scholar
  • Abouee-Mehrizi A, Baron O, Berman O, Sarhangia V (2014) Allocation policies in blood transfusion. Accessed March 29, 2017, http://www-.rotman.utoronto.ca/opher.baron/files/S9_Allocation_Policies_in_Blood_Transfusion.pdf.Google Scholar
  • Adamson JW (2008) New blood, old blood, or no blood? New England J. Medicine 358(12):1295–1296.CrossrefGoogle Scholar
  • Beliën J, Forcé H (2012) Supply chain management of blood products: A literature review. Eur. J. Oper. Res. 217(1):1–16.CrossrefGoogle Scholar
  • Blake JT, Hardy M, Delage G, Myhal G (2013) Déjà-vu all over again: Using simulation to evaluate the impact of shorter shelf-life for red blood cells at Héma-Québec. Transfusion 53(7):1544–1558.CrossrefGoogle Scholar
  • Clay NM, Abbasi B, Eberhard A, Hearne J (2016) On the volatility of blood inventories Internat. Trans. Oper. Res., ePub ahead of print July 13, http://onlinelibrary.wiley.com/doi/10.1111/itor.12326/abstract.CrossrefGoogle Scholar
  • Cohen MA, Pierskalla WP, Yen H (1981) Analysis of ordering and allocation policies for multi-echelon, age-differentiated inventory systems. Schwarz LB, ed., Multi-Level Production/Inventory Control Systems: Theory and Practice (North-Holland, Amsterdam), 353–378.Google Scholar
  • Dzik W (2008) Fresh blood for everyone? Balancing availability and quality of stored RBCs. Transfusion Medicine 18(4):260–265.CrossrefGoogle Scholar
  • Fontaine MJ, Chung YT, Erhun F, Goodnough LT (2010) Age of blood as a limitation for transfusion: Potential impact on blood inventory. Transfusion 50(10):2233–2239.CrossrefGoogle Scholar
  • Grasas A, Pereira A, Bosch M-A, Ortiz P, Puig L (2015) Feasibility of reducing the maximum shelf-life of red blood cells stored in additive solution: A dynamic simulation study involving a large regional blood system. Vox Sanguinis 108(3):233–242.CrossrefGoogle Scholar
  • Graves SC (1982) The application of queueing theory to continuous perishable inventory systems. Management Sci. 28(4):400–406.LinkGoogle Scholar
  • Hosseinifard Z, Abbasi B (2016) The inventory centralization impacts on sustainability of the blood supply chain. Comput. Oper. Res., ePub ahead of print August 27, https://doi.org/10.1016/j.cor.2016.08.014.CrossrefGoogle Scholar
  • Keilson J, Seidmann A (1990) Product selection policies for perishable inventory systems. Operations Research Center Working Paper, OR 226-90, MIT, Cambridge, MA.Google Scholar
  • Koch CG, Li L, Sessler DI, Figueroa P, Hoeltge GA, Mihaljevic T, Blackstone EH (2008) Duration of red-cell storage and complications after cardiac surgery. New England J. Medicine 358(March): 1229–1239.CrossrefGoogle Scholar
  • Millard DW (1959) Industrial inventory models as applied to the problem of inventorying whole blood. Accessed March 29, 2017, https://etd.ohiolink.edu/!etd.send_file?accession=osu1342025734&disposition=inline.Google Scholar
  • Nahmias S (1982) Perishable inventory theory: A review. Oper. Res. 30(4):680–708.LinkGoogle Scholar
  • Nahmias S (2011) Perishable Inventory Systems (Springer, New York).CrossrefGoogle Scholar
  • Olsson F (2010) Modelling two-echelon serial inventory systems with perishable items. IMA J. Management Math. 21(1):1–17.CrossrefGoogle Scholar
  • Olsson F, Tydesjö P (2009) Inventory problems with perishable items: Fixed lifetimes and backlogging. Eur. J. Oper. Res. 202(1):131–137.CrossrefGoogle Scholar
  • Parlar M, Perry D, Stadje W (2011) FIFO versus LIFO issuing policies for stochastic perishable inventory systems. Methodology Comput. Appl. Probab. 13(2):405–417.CrossrefGoogle Scholar
  • Prastacos GP (1984) Blood inventory management: An overview of theory and practice. Management Sci. 30(7):777–800.LinkGoogle Scholar
  • R Development Core Team (2008) The R project for statistical computing. Accessed March 29, 2017, http://www.R-project.org.Google Scholar
  • Sapere Research Group (2011) Analysis of cost drivers and trends in the blood sector. Accessed March 29, 2017, https://www.health.gov.au/internet/main/publishing.nsf/Content/foi-disc-log-2012-13/$File/COSTS%20AND%20TRENDS%20-%20FINAL%2030%20August%2011.pdf.Google Scholar
  • Sarhangian V, Abouee-Mehrizi H, Baron O, Berman O, Heddle NM, Barty R (2016) Reducing the age of transfused red blood cells in hospitals: Ordering and allocation policies. Vox Sang 110(4): 385–392.CrossrefGoogle Scholar
  • Schmidt CP, Nahmias S (1985) (S − 1, S) policies for perishable inventories. Management Sci. 31(6):719–728.LinkGoogle Scholar
  • Tinmouth A, Fergusson D, Yee IC, Hebert PC (2006) Clinical consequences of red cell storage in the critically ill. Transfusion 46(11):2014–2027.CrossrefGoogle Scholar
  • Williamson LM, Devine DV (2013) Challenges in the management of the blood supply. Lancet 381(9880):1866–1875.CrossrefGoogle Scholar
  • Yen H (1975) Inventory management for a perishable product multi-echelon system. Unpublished doctoral dissertation, Northwestern University, Evanston, IL.Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.