Using GIS technologies for solving optimization problems in humanitarian logistics

Abstract

The efficiency of humanitarian logistics is crucial, especially in emergencies or when distributing limited resources. A key task is optimally placing collection centers to minimize distances and costs. This task is complex due to various criteria, such as estimating the number of users and considering the service market's characteristics. There is a need for further research on developing methods for analyzing and evaluating locations. Decisions should consider regional features like population density and road network density. Traditional methods may not account for all real-world aspects, leading to unsuitable locations. Geographic Information System (GIS) technologies are vital in addressing these challenges, as they enable the consideration of geographical constraints in the planning stage.