Forecast-driven model for prepositioning supplies in preparation for a foreseen hurricane

Gina Galindo Pacheco and Rajan Batta
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Gina Galindo Pacheco: University at Buffalo (SUNY), Buffalo, USA
Rajan Batta: University at Buffalo (SUNY), Buffalo, USA

Journal of the Operational Research Society, 2016, vol. 67, issue 1, 98-113

Abstract: In this paper, we present a forecast-driven dynamic model for prepositioning relief items in preparation for a foreseen hurricane. Our model uses forecast advisories issued by the National Hurricane Center (NHC), which are issued every 6 h. Every time a new advisory is issued with updated information, our model determines the amount and location of units to be prepositioned and it also re-prepositions already prepositioned units. The model also determines the best time for starting the prepositioning activities. Our approach uses a combination of Decision Theory and stochastic programming. The outcomes of our model are presented in a way that could be easily understood by humanitarian practitioners who are ultimately the ones who would use and apply our model.

Date: 2016
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