Research on Optimization of Relief Supplies Distribution Aimed to Minimize Disaster Losses

The optimization problem of relief supplies distribution for large-scale emergencies is discussed in this paper. Under the situation that the needs for relief supplies are more numerous and urgency, the optimization goal should be minimum disaster loss instead of minimum delivery cost or shortest travel distance. By setting objective function about minimum disaster loss, scheduling model of relief supplies distribution under determined conditions and fuzzy conditions is proposed. Scheduling model of relief supplies distribution divide into two cases both for single species and for many varieties. We deal with the uncertainty of travel time in relief supplies distribution by applying the approach of selecting the maximum satisfaction path in fuzzy network. For each model, a experimental calculation is conducted to verify its solution approach.