عنوان مقاله [English]
Every year, man-made accidents or natural disasters, such as earthquakes, tsunamis, hurricanes, etc., make thousands of people homeless and cause considerable damages, and even death of many people. Planning for basic actions can reduce these damages. One of the most vital actions of disaster response phase is to evacuate healthy people from disaster-stricken areas to shelters and provide basic needs for them. By choosing efficient routes and relief operations at the right time, loss of life and financial damage are diminished. In this study, an integrated network of routing, scheduling, and allocating at the same time is modeled for evacuating healthy people to shelters and providing relief items for them. In the evacuation operations, the possibility
of servicing to healthy people in each disaster by several vehicles, existence of multiple depots of heterogeneous vehicles, and time window constraints for vehicles to get to disaster areas and shelters are considered. In the distribution process of relief items, the possibility of getting service from each supplier by several vehicles, existence of multiple depots of heterogeneous vehicles, and time-window constraints for vehicles to get to suppliers and shelters are introduced. To get closer to the real world, evacuation vehicles for people and item distribution vehicles are considered differently, shelters' capacity constraint and vehicles' number and capacity constraint are introduced to perform a better planning for response phase of disaster.
A mixed integer linear mathematical programming model is presented to minimize the total time required for evacuation vehicles to get to disaster-stricken areas and shelters and distribution vehicles to get to suppliers and shelters.
To demonstrate the efficiency and applicability of the proposed model, we provide a solution to the model by exact method and perform sensitivity analysis on the main parameters. Results show that the proposed model can be used to decide on simultaneous routing, scheduling, and allocating for relief operations in response phase of disaster.