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Facility location under demand uncertainty: Response to a large-scale bio-terror attack

Listed author(s):
  • Murali, Pavankumar
  • Ordóñez, Fernando
  • Dessouky, Maged M.
Registered author(s):

    In the event of a catastrophic bio-terror attack, major urban centers need to efficiently distribute large amounts of medicine to the population. In this paper, we consider a facility location problem to determine the points in a large city where medicine should be handed out to the population. We consider locating capacitated facilities in order to maximize coverage, taking into account a distance-dependent coverage function and demand uncertainty. We formulate a special case of the maximal covering location problem (MCLP) with a loss function, to account for the distance-sensitive demand, and chance-constraints to address the demand uncertainty. This model decides the locations to open, and the supplies and demand assigned to each location. We solve this problem with a locate-allocate heuristic. We illustrate the use of the model by solving a case study of locating facilities to address a large-scale emergency of a hypothetical anthrax attack in Los Angeles County.

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    Article provided by Elsevier in its journal Socio-Economic Planning Sciences.

    Volume (Year): 46 (2012)
    Issue (Month): 1 ()
    Pages: 78-87

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    Handle: RePEc:eee:soceps:v:46:y:2012:i:1:p:78-87
    DOI: 10.1016/j.seps.2011.09.001
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    9. Berman, Oded & Krass, Dmitry & Drezner, Zvi, 2003. "The gradual covering decay location problem on a network," European Journal of Operational Research, Elsevier, vol. 151(3), pages 474-480, December.
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