Locating local warehouses and controlling inventory and allocating normal and perishable items in post-crisis with uncertain demand and budget

The events that occur suddenly as a result of natural and human actions and impose hardship on society are called Disasters. In recent years, due to changes in the Earth's climate, the number of natural crises, including earthquakes, floods, storms, etc been increasing. Thus, the need for disaster management and planning is felt more than ever. In this research, the aim is to model and solve the problem of locating local warehouses and allocating and controlling the inventory of normal and perishable items in post-crisis conditions. Because in the real world, the demand for affected areas for any reason, such as the severity of damage to areas and people, the possibility of aftershocks with higher intensity and in a short time after the initial earthquake, and the rate of death is not certain. In addition, in most of the conditions, the budget is not clear for the managers and it depends on the severity of the crisis, the support of humanitarian organizations, and public donations. S the budget is uncertain. Therefore, we considered uncertain demand and budget in this research. For this problem, a mixed-integer linear mathematical model has been developed. To solve the problem, GAMS software and the electromagnetic algorithm have been used for small-sized and large-sized problems, respectively. Numerical results on different examples show the efficiency of the proposed algorithm in terms of time and the quality of results.