Name
Title | ||
|---|---|---|
Forecast-driven model for prepositioning supplies in preparation for a foreseen hurricane. |
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1057/jors.2015.54 | JORS |
Keywords | Field | DocType |
prepositioning,dynamic model,decision theory,disaster management | Computer science,Emergency management,Operations research,Decision theory,Stochastic programming,Operations management | Journal |
Volume | Issue | ISSN |
67 | 1 | 0160-5682 |
Citations | PageRank | References |
3 | 0.43 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gina Galindo Pacheco | 1 | 3 | 0.43 |
| Rajan Batta | 2 | 849 | 89.39 |