An Optimization Method for Distributing Emergency Materials Which Balances Multiple Decision Criteria

In emergency rescue operations, it is very important for management to arrange materials scientifically and reasonably according needs. However, the decision criteria material distribution are often diverse, coupled with lack of information acquisition due suddenness development complexity disasters, which makes scientific decisions about face great challenges. This paper proposes a multi-criteria optimization model under uncertainty that combines 4E performance evaluation (economic criterion, efficiency effectiveness criterion equity criterion). Then, solution method multiple designed. Finally, case study medical during COVID-19 in China was conducted verification. The results show different have an impact on materials, proposed has significant advantages allocation large-scale disaster relief can provide useful reference uncertain conditions.