Optimization of Emergency Logistics Network based on Cloud Platform

To improve the stability and timeliness of the emergency logistics system, the urgency of time and the need of multi-objective decision-making in the urban emergency logistics system are fully considered, as well as the situational factors such as road safety that may occur in the process of material distribution, while meeting certain cost characteristics in the actual distribution process. An emergency logistics mode scheme based on cloud platform is proposed. By analyzing the uncertain factors in the main problems of urban emergency logistics, and incorporating the uncertain factors with large influence factors into the research system of urban emergency logistics, it can ensure that the urban emergency logistics activities meet the specific practical requirements. On this basis, the improvement of urban emergency logistics system is proposed. We are also building an emergency logistics model based on the cloud platform to reduce the cost caused by information asymmetry and improve the efficiency of emergency material distribution. Genetic algorithm with monarch scheme is used to optimize the S-flow path of emergency materials based on cloud platform. The experimental data show that the emergency logistics of the severely affected cities has reduced 36.49% of the cost and saved 27.87% of the time through the cloud platform. Result finding that the cloud platform proposed in this paper can shorten the transportation time, reduce the distribution cost, find the optimal distribution route of materials, and has good stability and application value.