The application belongs to the technical field of
medicine inventory management, and particularly relates to a
pharmacy medicine consumption prediction and replenishment
system and method combined with prescription flow. The
system comprises a collection and prediction module, a first replenishment module, a storage location optimization module, an updating module, a prediction correction module and a second replenishment module. Prescription flow is collected in real time and combined with historical consumption records, and
time series analysis is used to predict
medicine consumption trends. When the predicted value exceeds the storage location capacity threshold, the replenishment amount is adjusted through
linear programming optimization. Then, the storage location information is integrated, and a
dynamic simulation algorithm is used to verify and optimize the storage
location allocation scheme. Real-time medicine shortage
risk indicators are then combined, the replenishment priority is updated, and
time series refined prediction and
linear programming iteration are performed again until the final inventory
recovery level is determined. The application effectively reduces the medicine shortage rate, improves storage location utilization efficiency and reduces operational
confusion, significantly improving the accuracy and stability of
pharmacy inventory management.