A study on optimal dispatch of meical resources under the situation of COVID-19

In order to improve the efficiency of production, transportation, storage and use medical resources under COVID-19 pandemic, we propose a simplified model for supply chain management by mathematical programming. Based on reserve demand in given area, proposed provides daily real-time transportation decisions expansion hospitals, factories warehouses epidemic situation analysing factors such as different regions, duration, factory capacity, warehouse reserves, hospital demand, costs factories, hospitals. The promo package Python language is used formulate mixed integer linear programming model. this model, conditions meeting case slow development sudden outbreak situation, commercial solver, CPLEX, able provide solution each with lowest cost within one second CPU time. This feasible scheme further solving complicated forecasting planning dispatch pneumonia COVID-19.