Системи підтримки прийняття рішень щодо оптимальної закупівлі сировини

Abstract

Decision Support Systems (DSS) play a crucial role in optimizing raw material procurement by providing businesses with essential information and analytical tools for informed decision-making. In today's business environment, characterized by market price instabilІТy, demand fluctuations, and logistical challenges, effective raw material management is crІТical for reducing costs and increasing profІТability. DSS utilize data analysis, demand forecasting, and supply chain optimization to enhance procurement processes. By combining time-series models like ARIMA with neural networks, DSS can predict future demand more accurately and optimize purchasing strategies.