Tropical cyclones is a type of a natural disaster that is being monitored and forecasted ever since its development up until its landfall or dissipation. This information paves the way for the possibility of prepositioning relief goods in the areas forecasted to be hit by the tropical cyclone in order to help the post disaster distribution of relief goods in a humanitarian supply chain. However, since these forecasts are not perfect and are constantly updated in relation to the actual development of the tropical cyclone, there is value in waiting for an updated forecast information at the expense of an expedited logistics cost due to a shorter lead time. Furthermore, in order to fully utilize the advantages of prepositioning, response times and cost objectives are studied. The key feature of the models presented in this paper is that the prepositioning decisions incorporates the possibility that the flow of goods in the post disaster links may be limited or reduced due to the effects of the tropical cyclone. As such, the models presented in this paper utilizes the updating nature of tropical cyclone forecast information in the decision of minimizing the cost and response times of the prepositioning process. Finally, linear physical programming was used for the optimization of the multiple objectives as it allows the incorporation of the decision maker’s preferences regarding the objectives.