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Locating Backup Facilities to Enhance Supply Chain Disaster Resilience




The use of emergency backup and storage facilities to supplement existing facilities in response to the potential effects of various natural and anthropogenic hazards (e.g., floods, fires, outages, and acts of malice) can be an effective way of reducing vulnerability and enhancing the resilience of supply chain and other logistics functions. Although there can be additional costs associated with utilizing emergency backup and storage facilities, they can be a particularly attractive and cost-effective alternative in those cases where long-term disruptions can, or should, be expected. In this paper we use set cover location modeling as a decision to determine the number of backup facilities to locate under varying cover, anticover, and complementary anticover distances. We then add the flexibility of allowing existing facilities to serve as backup facilities and explore the interrelationships among hazards, vulnerability, and location. Finally, these model formulations are applied to an example data set over 900 cities and towns in New England and New York. Copyright (c) 2008 Copyright the Authors. Journal compilation (c) 2008 Wiley Periodicals, Inc..

Suggested Citation

  • Samuel Ratick & Brian Meacham & Yuko Aoyama, 2008. "Locating Backup Facilities to Enhance Supply Chain Disaster Resilience," Growth and Change, Wiley Blackwell, vol. 39(4), pages 642-666.
  • Handle: RePEc:bla:growch:v:39:y:2008:i:4:p:642-666

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    References listed on IDEAS

    1. S J Ratick & A L White, 1988. "A Risk-Sharing Model for Locating Noxious Facilities," Environment and Planning B, , vol. 15(2), pages 165-179, June.
    2. Murray, Alan T. & Church, Richard L., 1997. "Facets for node packing," European Journal of Operational Research, Elsevier, vol. 101(3), pages 598-608, September.
    3. Erkut, Erhan & Neuman, Susan, 1989. "Analytical models for locating undesirable facilities," European Journal of Operational Research, Elsevier, vol. 40(3), pages 275-291, June.
    4. S J Ratick & A L White, 1988. "A risk-sharing model for locating noxious facilities," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 15(2), pages 165-179, March.
    5. I. Douglas Moon & Sohail S. Chaudhry, 1984. "An Analysis of Network Location Problems with Distance Constraints," Management Science, INFORMS, vol. 30(3), pages 290-307, March.
    6. Lawrence V. Snyder & Mark S. Daskin, 2005. "Reliability Models for Facility Location: The Expected Failure Cost Case," Transportation Science, INFORMS, vol. 39(3), pages 400-416, August.
    7. Richard L. Church & Robert S. Garfinkel, 1978. "Locating an Obnoxious Facility on a Network," Transportation Science, INFORMS, vol. 12(2), pages 107-118, May.
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    Cited by:

    1. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    2. Mark Horner & Michael Widener, 2011. "The effects of transportation network failure on people’s accessibility to hurricane disaster relief goods: a modeling approach and application to a Florida case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1619-1634, December.
    3. repec:eee:transa:v:110:y:2018:i:c:p:202-219 is not listed on IDEAS
    4. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.

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