Case studies related to prepositioning supplies for a hurricane disaster
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This thesis develops case studies which address the problem of prepositioning supplies in preparation for a foreseen hurricane. The major motivation behind this work was to test the mathematical models developed by Galindo and Batta in a real-world scenario. The first case study is developed using the forecast parameters of hurricane Sandy for the State of New Jersey using a simulation tool HAZUS. In the second case study, for the forecast driven model, we use the updated forecasts issued by the National Hurricane Center in every six hours. Our findings from the two case studies agrees with the computational testing on randomly generated problems for the mathematical models--prepositioning of supplies in a real world scenario not only satisfies the demand of people in the affected potential area; it also minimizes the cost.