Research on the Application of Computer Technology in Multi-variety and Small-batch Material Production

This paper employs the Autoregressive Integrated Moving Average Model (ARIMA) and regression analysis to examine the equilibrium relationship between inventory and service level. A survey questionnaire was used to study the data changes of inventory managers under different inventory conditions. This article adopts the Analytic Hierarchy Process (AHP) to accurately select 6 representative materials and establish an ARIMA model based on historical data for weekly prediction. Multiple predictions are made on interpolation data, interpolation data, and different parameters, and compared with historical data to provide the optimal prediction model. At the same time, this article combines historical data of manufacturing enterprises and uses regression analysis methods to explore the equilibrium state between inventory and service levels, providing more guidance for optimizing production arrangements. A regression model was established to analyze inventory data and the questionnaire on digital management of inventory. The optimal value of inventory was analyzed while ensuring the full utilization of computers to strengthen inventory management, providing production guidance for maximizing the interests of enterprises and consumers. By utilizing model predictions and conducting surveys and analyses on the application of computer technology in inventory management, the optimal inventory level can be determined, thereby assessing the extent to which computer technology plays a role in inventory management.