The group’s work is mainly devoted to the development of decision support systems able to face several problems in humanitarian logistics and disaster management as the assessment of disaster consequences (and therefore the resulting needs of the affected population), the last mile distribution of the humanitarian aid and recovery decisions.
The general logistics involves the integration of information, transportation, inventory, warehousing, material handling, packaging and security issues related to the implementation of humanitarian programs. The techniques to be used include mathematical programming, fuzzy logic and multicriteria decision making.
Aims of the program:
The Group on “Mathematical Models in Humanitarian Logistics” (UCM HUMLOG) is working on several problems, developing decision support systems to deal with them. These problems and software are the following:
SEDD: Early forecasting of the consequences of a disaster.
HADS: last mile distribution of humanitarian aid with several performance criteria.
RecHADS: recovery of infrastructures after a disaster taking into account the distribution of humanitarian aid.