ANALYSING DEMAND FORECASTING MODELS BASED ON HISTORICAL DRUG CONSUMPTION DATA
Abstract. Forecasting drug demand plays a key role in ensuring sustainable supply, effective inventory management, and timely patient access to life-saving medicines. This article presents a study of ARIMA time series and exponential smoothing methods for predicting demand for an antihypertensive blood pressure drug. The research is aimed at developing and identifying a model that […]
