Abstract
In 2009, Canadian Blood Services, one of two nonprofit agencies that manage the supply of blood and blood products in Canada, announced plans to consolidate a number of its production facilities in an effort to standardize processes and workflows. One of the elements of the plan involved moving existing production facilities in Saint John, New Brunswick and Halifax, Nova Scotia, into a single facility to be located in Dartmouth, Nova Scotia. The plan drew criticism from some stakeholder groups. In this chapter, we describe how operations research techniques were used to analyze this difficult policy issue. We provide a discussion of the motivation for the study, an overview of the methodology, and the results of the studies conducted to evaluate the proposed change. The analysis involved a statistical comparison of transport modes as well as a series of simulation models to evaluate the impact of consolidation on product availability. The results of this analysis suggested that, on the balance of metrics considered, customer service would not be adversely affected by the consolidation of facilities.
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References
Canadian Blood Services (2011) Annual report 2010–2011. www.blood.ca. Accessed 27 July 2012
Canadian Blood Services (1998–2012) Canadian blood services: FAQs. http://www.bloodservices.ca/CentreApps/Internet/UW_V502_MainEngine.nsf/page/FAQKrever?OpenDocument. Accessed 27 July 2012
Krever H (1997) Commission of inquiry on the blood system in Canada. Canadian Government Pub., 1997
Blake JT, Hardy M (2013) Using simulation to evaluate a blood supply network in the Canadian maritime provinces. J Enterprise Inform Manage 26(1/2):119–134
CanadaEast.com (2011) NB to ensure top quality of blood supply. http://timestranscript.canadaeast.com/newstoday/article/1411744. Accessed 10 June 2011
Canadian Broadcasting Corporation (2012) Timeline: Canadian blood services controversy in New Brunswick. http://www.cbc.ca/news/canada/new-brunswick/story/2012/01/13/nb-canadian-blood-services-timeline.html. Accessed 30 Jan 2012
Blake JT (2012) A case study on the use of operations research to evaluate changes in a blood supply chain. In: D’Amours S (ed) Proceedings of the 4th international conference on information systems, logistics, and supply chain. Quebec City, QC
Statistics Canada (2012) Province of New Brunswick. http://www12.statcan.gc.ca/census-recensement/2011/as-sa/fogs-spg/Facts-pr-eng.cfm?Lang=Eng&GK=PR&GC=13. Accessed 30 May 2012
Beliën J, Forcé H (2012) Supply chain management of blood products: a literature review. Eur J Oper Res 217:1–16
Nahmias S (1982) Perishable inventory theory: a review. Oper Res 30:680–670
Prastacos GP (1984) Blood inventory management—an overview of theory and practice. Manage Sci 30:770–800
Pierskalla WP (2005) Supply chain management of blood banks. In: Brandeau ML, Sainfort F, Pierskalla WP (eds) Operations research and health care. Springer, New York
Sural G, Sahin H, Meral S (2007) Locational analysis for regionalization of Turkish Red Crescent blood services. Comput Oper Res 34:692–704
Chen HK, Hsueh CF, Chang ME (2009) Production scheduling and vehicle routing with time windows for perishable food products. Comput Oper Res 36:2311–2319
Brodheim E, Prastacos GP (1979) The Long Island blood distribution system as a prototype for regional blood management. Interfaces 9:3–20
Federgruen A, Zipkin P (1984) A combined vehicle routing and inventory allocation problem. Oper Res 32:1019–1037
Hwang HS (1999) A food distribution model for famine relief. Comput Ind Eng 37:335–338
Prindezis N, Kiranoudis CT, Marinos-Kouris D (2003) A business-to-business fleet management service provider for central food market enterprises. J Food Eng 60:203–210
Rytilä JS, Spens KN (2006) Using simulation to increase efficiency in blood supply chains. Manage Res N 29:801–819
Ghandforoush P, Sen TK (2010) A DSS to manage platelet production supply chain for regional blood centers. Decis Support Syst 50:32–42
Katsaliaki K, Brailsford SC (2007) Using simulation to improve the blood supply chain. J Oper Res Soc 58:219–227
Delen D, Erranguntla M, Mayer RJ, Wu CN (2011) Better management of blood supply-chain with GIS-based analytics. Ann Oper Res 185:181–193
Canadian Broadcasting Corporation (2012) Snow, wind prompt school closures. http://www.cbc.ca/news/canada/nova-scotia/story/2012/03/27/ns-snow-wind-schools-closed.html. Accessed 30 Mar 2012
Walpole R, Myers R, Ye S, Myers K (2012) Probability and statistics for engineers and scientists, 9th edn. Prentice-Hall, Boston
Levene H (1960) Robust tests for equality of variances. In: Olkin I, Ghurye SG et al. (eds) Contributions to probability and statistics: essays in honor of Harold Hotelling. Stanford University Press, Stanford, CA
Feltovich N (2003) Nonparametric tests of differences in medians: comparison of the Wilcoxon-Mann–Whitney and robust rank order tests. Exp Econ 6:273–279
Law AM (2007) Simulation modeling and analysis, 4th edn. McGraw-Hill, New York
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Blake, J., Rogerson, M., Harris, D. (2013). Evaluating Health Care Policy Decisions: Canadian Blood Services in Atlantic Canada. In: Zaric, G. (eds) Operations Research and Health Care Policy. International Series in Operations Research & Management Science, vol 190. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6507-2_17
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DOI: https://doi.org/10.1007/978-1-4614-6507-2_17
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