Resource planning is a crucial activity during emergencies, especially during disasters, where location-allocation of relief services facilities becomes an important decision-making task in order to save lives and mitigate some direct and collateral effects. This way, there is a need for planning different key aspects during a disaster, such as the demand for different relief services, location-allocation of relief facilities, capacity, and resource requirements planning, all of which are distributed by zones. This paper introduces a mixed-integer linear programming (MILP) model for disaster decision-making at an operative level in which three objective functions are operationalized. The proposed MILP is applied to a study case in Bogotá,-Colombia by implementing different possible scenarios in order to analyze its performance and results as a supporting tool for decision making.