Data Mining/Mediation to Evaluate Risk of a Humanitarian Logistics Network in Mexico

A network of Rapid Response Centers in the Southeastern Region of Mexico has been proposed. Locations have already been found, without considering any risk factors. The purpose of this paper is to find methods to obtain data from different sources, to compile a risk database that can be used to solve a new facility location problem, considering risk factors. The solution would be used as validation, or improvement, for the already proposed network. This study describes the methods used to obtain information from geographical information systems and database sources. It addresses how that information was converted into a simple database for a facility location model. Simple computing routines were used as mediation tools to standardize the format of the available information. The risk factors that could affect a humanitarian facility in the region were identified. This research uses a data mining and data mediation approach to the problem of obtaining enough information to solve a model in humanitarian logistics.