Aiming at the difference of health system resilience in urban areas and the random evolution of demand for emergency medical supplies， a multi-stage dynamic allocation model for emergency medical supplies based on resilience assessment was proposed. Firstly， combined with the entropy method and the K-means algorithm， the resilience assessment system and classification method of area’s health system were established. Secondly， the random evolution characteristic of demand state was designed as a Markov process， and triangular fuzzy numbers were used to deal with the fuzzy demand， thereby constructing a multi-stage dynamic allocation model of emergency medical supplies. Finally， the proposed model was solved by the binary Artificial Bee Colony （ABC） algorithm， and the effectiveness of the model was analyzed and verified by an actual example. Experimental results show that the proposed model can realize the dynamic allocation of supplies to stabilize the demand changes and prioritize the allocation of areas with weak resilience， reflecting the fairness and efficiency of emergency management requirements.

Before an emergency occurs， the hospitals need to maintain a certain amount of emergency resource redundancy. Aiming at the problem of configuration optimization of hospital emergency resource redundancy under emergencies， firstly， based on the utility theory， by analyzing the utility performance of the hospital emergency resource redundancy， the emergency resource redundancy was defined and classified， and the utility function conforming to the marginal law was determined. Secondly， the redundancy configuration model of hospital emergency resources with maximal total utility was established， and the upper limit of emergency resource storage and the lower limit of emergency rationality were given as the constraints of the model. Finally， the combination of particle swarm optimization and sequential quadratic programming method was used to solve the model. Through case analysis， four optimization schemes for the emergency resource redundancy of the hospital were obtained， and the demand degree of the hospital emergency level to the hospital emergency resource redundancy was summarized. The research shows that with the emergency resource redundancy configuration optimization model， the emergency rescue of hospitals under emergencies can be carried out well， and the utilization efficiency of hospital emergency resources can be improved.