Abstract
In this chapter, we present a generalized network model for the optimization of the complex operations of medical nuclear supply chains in the case of the radioisotope molybdenum, with a focus on minimizing the total operational cost, the total waste cost, and the risk associated with this highly time-sensitive and perishable, yet, critical, product used in healthcare diagnostics. Our model allows for the evaluation of transitioning the production and processing of the radioisotope from highly enriched uranium targets to low enriched uranium targets. A case study for North America demonstrates how our framework can be applied in practice.
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References
Alp E (1995) Risk-based transportation planning practice: Overall methodology and a case example. Inform Syst Oper Res 33(1):4–19
American Institute of Physics (1972) American Institute of Physics Handbook, 3rd edn. McGraw Hill, New York, 8-6-8-91
Batta R, Chiu SS (1988) Optimal obnoxious paths on a network: transportation of hazardous materials. Oper Res 36(1):84–92
Berger SA, Goldsmith W, Lewis ER (eds) (2004) Introduction to bioengineering. Oxford University Press, Oxford
Dafermos SC, Sparrow FT (1969) The traffic assignment problem for a general network. J Res Natl Bur Stand 73B:91–118
de Lange F (2010) Covidien’s role in the supply chain of Molybdenum-99 and Technetium-99m generators. Tijdschrift voor Nucleaire Geneeskunde 32:593–596
Erkut E, Gzara F (2008) Solving the hazmat transport network design problem. Comput Oper Res 35(7):2234–2247
Erkut E, Tjandra SA, Verter V (2007) Hazardous materials transportation. Handbooks Oper Res Manag Sci 14:539–621
Kahn LH (2008) The potential dangers in medical isotope production. Bulletin of the Atomic Scientists, March 16. Available online at: http://thebulletin.org/node/163
Kochanek KD, Xu J, Murphy SL, Minino AM, Kung H-C (2011) Deaths: preliminary data for 2009, National Vital Statistics Reports, vol 59, No. 4, March 16
Korpelevich GM (1977) The extragradient method for finding saddle points and other problems. Matekon 13:35–49
Kramer D (2011) Drive to end civilian use of HEU collides with medical isotope production. Phys Today 64(2):17–19
Lantheus Medical Imaging, Inc. (2009) Lantheus Medical Imaging takes proactive steps to mitigate impact of global molybdenun-99 supply chain operations on operations. Press Release, May 20. Available online at: http://www.lantheus.com/News-Press-2009-0520.html
Nagurney A (2010) Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction. Int J Prod Econ 128(1):200–208
Nagurney A (2012) Design of sustainable supply chains for sustainable cities. Isenberg School of Management, University of Massachusetts, Amherst, MA
Nagurney A, Nagurney LS (2012) Medical nuclear supply chain design: A tractable network model and computational approach. Int J Prod Econ 140(2):865–874
Nagurney A, Nagurney LS, Li D (2012) Securing the sustainability of global medical nuclear supply chains through economic cost recovery, risk management, and optimization. Int J Sustain Transport (to appear)
Nagurney A, Qiang Q (2009) Fragile networks: identifying vulnerabilities and synergies in an uncertain world. Wiley, Hoboken, NJ
National Research Council (2009) Medical isotope production without highly enriched uranium. The National Academy of Sciences, Washington, DC
OECD Nuclear Energy Agency (2010a) The supply of medical radioisotopes: Interim report of the OECD/NEA high-level group on security of supply of medical radioisotopes
OECD Nuclear Energy Agency (2010b) The supply of medical radioisotopes: An economic study of the molybdenum-99 supply chain NEA No. 6867
OECD Nuclear Energy Agency (2011) The supply of medical radioisotopes: The path to reliability NEA No. 6985
Ponsard B (2010) Mo-99 supply issues: Report and lessons learned, presented at the 14th International Topical Meeting on the Research Reactor Fuel Management (RRFM 2010), Marrakech, Morrocco, 21–25 March, published by the European Nuclear Society, ENS RRFM 2010 Transactions
Qiang Q, Nagurney A (2012) A bi-criteria measure to assess supply chain network performance for critical needs under capacity and demand disruptions. Transport Res A 46(5):801–812
Resnikoff M (1992) Study of transportation accident severity. Radioactive Waste Management Associates for the Nevada Nuclear Waste Project Office, February
Seeverens HJJ (2010) The economics of the molybdenum-99/Technetium-99m supply chain. Tijdschrift voor Nucleaire Geneeskunde 32:604–608
Sherali HD, Brizendine LD, Glickman TS, Subramianian S (1997) Low probability-high consequence considerations in routing hazardous material shipments. Transport Sci 31(3):237–251
World Nuclear Association (2012) Radioisotopes in medicine. January 26.Available online at: http://www.world-nuclear.org/info/inf55.html
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© 2013 Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
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Nagurney, A., Yu, M., Masoumi, A.H., Nagurney, L.S. (2013). Medical Nuclear Supply Chains. In: Networks Against Time. SpringerBriefs in Optimization. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6277-4_3
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DOI: https://doi.org/10.1007/978-1-4614-6277-4_3
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