Optimizing a multi-objective problem for emergency response of crisis management in natural disaster

As nobody can prevent disasters like earthquake, tsunamis, hurricanes, floods and etc. and because of huge harmful effects of the events, in recent years, scientists mostly try to find the best way to control undesirable consequences of these events. According that Emergency decision making EDM is a way of emergency management to control the bad effects of these disasers. EDM used for rescue units that their mission is going to critical places and save the lives and properties, must be found location and allocated to places that crisis occur there. This paper presents two scenarios that each one contain multi objective decision support model to find a location to establishment of critical bases and allocate rescue units of primary nodes to each crisis. During this action three main objectives of these kind of problems considered. First goal of the (MILP) models for each scenarios is minimizing sum of all severity of crisis delays of rescue unit to reach the critical places. The second goal of the problem minimizes total arrival time rescue units at critical places. As the third goal the model minimizes total costs of this transportation. These three objectives ranked by priority. The difference between two scenarios is that first scenario crisis is predected and dosen't occured but in second scenario crisis existed by raid. Then to illustrate the efficiency of the model a numerical example solved by GAMS and results is showed.