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Models for Reliable Supply Chain Network Design

In: Critical Infrastructure

Author

Listed:
  • Lawrence V. Snyder

    (Lehigh University)

  • Mark S. Daskin

    (Northwestern University)

Abstract

Recent examples of disruptions in the news suggest a strong geographical dimension to supply chain disruptions, and to their effects. For example: The west-coast port lockout in 2002 strangled U.S. retailers’ supply lines while east-coast ports were essentially unaffected (Greenhouse 2002) The foot-and-mouth disease scare in the U.K. in 2001 caused the U.S. to ban imports of British meat (Marquis and McNeil 2001). The suspension of the license of the Chiron plant in Liverpool, England reduced the U.S. supply of the influenza vaccine by nearly 50% during the 2004/5 flu season (Pollack 2004). In the U.S. Gulf Coast region in 2005, Hurricane Katrina idled facilities situated at all levels of the supply chain, including production (e.g., coffee; Barrionuevo and Deutsch 2005), processing (oil refining; Mouawad 2005), warehousing (lumber storage; Reuters 2005), transit (banana imports; Barrionuevo and Deutsch 2005), and retail (groceries and home-repair; Fox 2005, Leonard 2005). These facilities were located in or near New Orleans but were integral parts of global supply chains. These examples highlight the need for supply chain design models that account for the spatial nature of both supply chains and their operation.

Suggested Citation

  • Lawrence V. Snyder & Mark S. Daskin, 2007. "Models for Reliable Supply Chain Network Design," Advances in Spatial Science, in: Alan T. Murray & Tony H. Grubesic (ed.), Critical Infrastructure, chapter 13, pages 257-289, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-68056-7_13
    DOI: 10.1007/978-3-540-68056-7_13
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    Citations

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    Cited by:

    1. Nader Azad & Elkafi Hassini, 2019. "A Benders Decomposition Method for Designing Reliable Supply Chain Networks Accounting for Multimitigation Strategies and Demand Losses," Transportation Science, INFORMS, vol. 53(5), pages 1287-1312, September.
    2. Jabbarzadeh, Armin & Azad, Nader & Verma, Manish, 2020. "An optimization approach to planning rail hazmat shipments in the presence of random disruptions," Omega, Elsevier, vol. 96(C).
    3. Farid Momayezi & S. Kamal Chaharsooghi & Mohammad Mehdi Sepehri & Ali Husseinzadeh Kashan, 2021. "The capacitated modular single-allocation hub location problem with possibilities of hubs disruptions: modeling and a solution algorithm," Operational Research, Springer, vol. 21(1), pages 139-166, March.
    4. Shishebori, Davood & Yousefi Babadi, Abolghasem, 2015. "Robust and reliable medical services network design under uncertain environment and system disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 268-288.
    5. Ahmadi-Javid, Amir & Seddighi, Amir Hossein, 2013. "A location-routing problem with disruption risk," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 63-82.
    6. Gilani, Hani & Sahebi, Hadi, 2022. "A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain," Omega, Elsevier, vol. 110(C).
    7. Lian Qi & Zuo-Jun Max Shen & Lawrence V. Snyder, 2010. "The Effect of Supply Disruptions on Supply Chain Design Decisions," Transportation Science, INFORMS, vol. 44(2), pages 274-289, May.
    8. Yun Hui Lin & Yuan Wang & Loo Hay Lee & Ek Peng Chew, 2021. "Robust facility location with structural complexity and demand uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 485-507, June.
    9. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    10. Margolis, Joshua T. & Sullivan, Kelly M. & Mason, Scott J. & Magagnotti, Mariah, 2018. "A multi-objective optimization model for designing resilient supply chain networks," International Journal of Production Economics, Elsevier, vol. 204(C), pages 174-185.
    11. Zheng, Rui & Shou, Biying & Yang, Jun, 2021. "Supply disruption management under consumer panic buying and social learning effects," Omega, Elsevier, vol. 101(C).
    12. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 323-336, June.
    13. M Miman & E Pohl, 2008. "Modelling and analysis of risk and reliability for a contingency logistics supply chain," Journal of Risk and Reliability, , vol. 222(4), pages 477-494, December.

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